Mental health status of Chinese residents during the COVID-19 epidemic

Abstract Background: To investigate the mental health status of Chinese residents during the epidemic of COVID-19, as well as to identify the positive and negative factors and regulatory effect of negative cognitive processing bias on mental health.Methods: A total of 60199 residents in China were surveyed via an internet-based survey containing a general questionnaire, such as the self-rating depression scale, the state anxiety inventory, and the negative cognitive processing bias questionnaire. An ordered multiple logistic regression analysis model was used to analyze the collected data. Results: The survey revealed mild, moderate, and severe depressive symptoms in 62.65%, 11.33%, and 6.14% participants, respectively, and mild, moderate, and severe anxiety symptoms in 33.21%, 41.27%, and 22.99% participants, respectively. Multiple logistic regression analysis showed that factors, such as female gender, being older than 55 years, high school education level, medical staff, marital conflicts, negative attention bias, rumination, and death growth rate, positively affected depression and anxiety symptoms. The good family functionality, democratic working atmosphere, and a myriad of social activities negatively affected the level of depressive and anxiety symptoms.Conclusion: Chinese residents exhibited a high prevalence of anxiety and depressive symptoms during the epidemic. Thus, psychological interventions should focus on the vulnerable groups, and cognitive training should focus on reducing the negative cognitive processing bias. This might be an effective way to alleviate the mental stress of the general public during the COVID-19 pandemic.

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Mental health status of Chinese residents during the COVID-19 epidemic

BMC Psychiatry ◽

10.1186/s12888-020-02966-6 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Wen Jiang ◽

Xuerong Liu ◽

Jingxuan Zhang ◽

Zhengzhi Feng

Keyword(s):

Mental Health ◽

Logistic Regression ◽

Regression Analysis ◽

Depressive Symptoms ◽

Cognitive Processing ◽

Multiple Logistic Regression Analysis ◽

Anxiety Symptoms ◽

Multiple Logistic Regression ◽

Processing Bias ◽

Cognitive Processing Bias

Abstract Background To investigate the mental health status of Chinese residents during the epidemic of COVID-19, as well as to identify the positive and negative factors and regulatory effect of negative cognitive processing bias on mental health. Methods A total of 60,199 residents in China were surveyed via an internet-based survey containing a general questionnaire, such as the self-rating depression scale, the state anxiety inventory, and the negative cognitive processing bias questionnaire. An ordered multiple logistic regression analysis model was used to analyze the collected data. Results The survey revealed mild, moderate, and severe depressive symptoms in 62.65, 11.33, and 6.14% participants, respectively, and mild, moderate, and severe anxiety symptoms in 33.21, 41.27, and 22.99% participants, respectively. Multiple logistic regression analysis showed that factors, such as female gender, being older than 55 years, high school education level, medical staff, marital conflicts, negative attention bias, rumination, and death growth rate, positively affected depression and anxiety symptoms. The good family functionality, democratic working atmosphere, and a myriad of social activities negatively affected the level of depressive and anxiety symptoms. Conclusion Chinese residents exhibited a high prevalence of anxiety and depressive symptoms during the epidemic. Thus, psychological interventions should focus on the vulnerable groups, and cognitive training should focus on reducing the negative cognitive processing bias. This might be an effective way to alleviate the mental stress of the general public during the COVID-19 pandemic.

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Mental health status of Chinese residents during the COVID-19 epidemic

10.21203/rs.3.rs-38662/v4 ◽

2020 ◽

Author(s):

Wen Jiang ◽

Xuerong Liu ◽

Jingxuan Zhang ◽

Zhengzhi Feng

Keyword(s):

Mental Health ◽

Logistic Regression ◽

Regression Analysis ◽

Depressive Symptoms ◽

Cognitive Processing ◽

Multiple Logistic Regression Analysis ◽

Anxiety Symptoms ◽

Multiple Logistic Regression ◽

Processing Bias ◽

Cognitive Processing Bias

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Mental health status of Chinese residents during the COVID-19 epidemic

10.21203/rs.3.rs-38662/v2 ◽

2020 ◽

Author(s):

Wen Jiang ◽

Xuerong Liu ◽

Jingxuan Zhang ◽

Zhengzhi Feng

Keyword(s):

Mental Health ◽

Logistic Regression ◽

Regression Analysis ◽

Depressive Symptoms ◽

Health Status ◽

Cognitive Processing ◽

Multiple Logistic Regression Analysis ◽

Multiple Logistic Regression ◽

Processing Bias ◽

Cognitive Processing Bias

Abstract Background: To investigate the mental health status of Chinese residents during the epidemic of COVID-19, identify the positive and negative factors and explore the regulatory effects of negative cognitive processing bias on mental health.Methods: Using a general questionnaire, such as the self-rating depression scale, the state anxiety inventory, and the negative cognitive processing bias questionnaire, an internet-based survey was conducted on 60199 residents in China. An ordered multiple logistic regression analysis model was used to analyze the collected data. Results: The survey showed that the incidences of mild, moderate, and severe depressive symptoms were 62.65%, 11.33%, and 6.14%, respectively, and that of mild, moderate and severe anxiety symptoms were 33.21%, 41.27%, and 22.99%, respectively. The results of ordered multiple logistic regression analysis showed that factors, such as female gender, age more than 55 years elderly, high school education level, medical staff, marital conflicts, negative attention bias, rumination, and death rate positively affected the level of depressive and anxiety symptoms. The good family functionality, democratic working atmosphere, and a myriad of social activities negatively affected the level of depressive and anxiety symptoms.Conclusion: The Chinese residents exhibited a high prevalence of anxiety and depressive symptoms during the epidemic. Thus, psychological interventions should focus on the vulnerable groups, and cognitive training should focus on reducing the negative cognitive processing bias that might be an effective way to alleviate the mental stress of the general public during the COVID-19 pandemic.

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Mental health status of Chinese residents during the COVID-19 epidemic

10.21203/rs.3.rs-38662/v1 ◽

2020 ◽

Author(s):

Wen Jiang ◽

Xuerong Liu ◽

Jingxuan Zhang ◽

Jia Wang ◽

Zhengzhi Feng

Keyword(s):

Mental Health ◽

Logistic Regression ◽

Regression Analysis ◽

Health Status ◽

Cognitive Processing ◽

Logistic Regression Analysis ◽

Multiple Logistic Regression Analysis ◽

Multiple Logistic Regression ◽

Processing Bias ◽

Cognitive Processing Bias

Abstract Background: To investigate the mental health status of Chinese residents during the epidemic of COVID-19 and identify the positive and negative factors affecting mediating effects of negative cognitive processing bias on mental health. Methods: Using a general questionnaire, such as the self-rating depression scale, the state anxiety inventory, and the negative cognitive processing bias questionnaire, an internet-based survey was conducted on 60199 residents in China. An ordered multiple logistic regression analysis model was used to analyze the collected data. Results: The survey showed that the incidences of mild, moderate, and severe depression were 62.65%, 11.33%, and 6.14%, respectively, and that of mild, moderate and severe anxiety were 33.21%, 41.27%, and 22.99%, respectively. The results of ordered multiple logistic regression analysis showed that factors, such as female gender, age more than 55 years elderly, high school education level, medical staff, marital conflicts, negative attention bias, rumination, and death rate positively affected the level of depression and anxiety. The good family functionality, democratic working atmosphere, and a myriad of social activities negatively affected the level of depression and anxiety.Conclusion: The Chinese residents exhibited a high prevalence of anxiety and depression during the epidemic. Thus, psychological interventions should focus on the vulnerable groups, and cognitive training should focus on reducing the negative cognitive processing bias that might be an effective way to alleviate the mental stress of the general public during the COVID-19 pandemic.

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Factors Associated with the 30-Day and 1-Year Smoking Abstinence of Women in Korea: The Effect of Nicotine Dependency, Self-Efficacy, and Mental Illness

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182111171 ◽

2021 ◽

Vol 18 (21) ◽

pp. 11171

Author(s):

Bo-Yoon Jeong ◽

Min-Kyung Lim ◽

Sang-Hwa Shin ◽

Yu-Ri Han ◽

Jin-Kyoung Oh ◽

...

Keyword(s):

Mental Health ◽

Mental Illness ◽

Smoking Cessation ◽

Logistic Regression ◽

Regression Analysis ◽

Self Efficacy ◽

Multiple Logistic Regression Analysis ◽

Multiple Logistic Regression ◽

Factors Associated ◽

Nicotine Dependency

Despite the success of tobacco control efforts in reducing smoking rates during the past 50 years, data on the factors contributing to quitting success are still lacking. Smoking-related mortality among women has also not declined. Therefore, this study aimed to characterize sociodemographic features, smoking-related behaviors, mental illness, and smoking cessation in woman smokers in Korea who were registered in the Quitline program. Furthermore, factors associated with 30-day and 1-year successful smoking cessation after enrollment in the Quitline program were investigated. A total of 3360 adult woman Quitline users from 2007 to 2018 were included in the final analysis, with information on their age, education level, marital status, body mass index, frequency of alcohol consumption per month, nicotine dependency, self-efficacy for smoking cessation, presence of a smoking cessation supporter, and mental health history collected upon registration with the Quitline program in Korea. Their cessation outcome was investigated with a 1-year follow-up until the end of 2019. A multiple logistic regression analysis was conducted to identify factors associated with smoking cessation at the 30-day and 1-year follow-ups. The results of the multiple logistic regression analysis indicated that lower nicotine dependency, higher self-efficacy, and the presence of a smoking cessation supporter improved the odds of smoking cessation at the 30-day and 1-year follow-ups. In contrast, users with a mental health condition were less likely to achieve smoking cessation. Incorporating methods to increase self-efficacy in women who decide to quit smoking will contribute to facilitating more attempts to quit and achieving greater success in smoking cessation among woman smokers.

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Prevalence and social determinants of psychological distress among people who use drugs in Cambodia

10.21203/rs.3.rs-31493/v2 ◽

2020 ◽

Author(s):

Chan Hang Saing ◽

Kiesha Prem ◽

Ponha Uk ◽

Navy Chann ◽

Pheak Chhoun ◽

...

Keyword(s):

Mental Health ◽

Logistic Regression ◽

Regression Analysis ◽

Psychological Distress ◽

Logistic Regression Analysis ◽

Mental Health Problems ◽

Multiple Logistic Regression Analysis ◽

People Who Use Drugs ◽

Multiple Logistic Regression ◽

High Psychological Distress

Abstract Background: People who use drugs are at a disproportionately higher risk of mental disorders due to prolonged exposure to psychosocial challenges. However, studies on mental health among people who use drugs in resource-constrained countries are scarce. This study sheds light on the prevalence and correlates of psychological distress among people who use drugs in Cambodia.Methods: We conducted this cross-sectional study in 12 provinces in 2017. The Respondent Driven Sampling method was adapted to recruit 1677 people who used drugs for face-to-face interviews using a structured questionnaire. Psychological distress was measured using the General Health Questionnaire (GHQ-12). A total score of GHQ-12>2 indicated high psychological distress. We performed a multiple logistic regression analysis to examine factors associated with psychological distress. Results: The mean age of the participants was 28.6 years (SD= 7.8). Of the total, 41.9% had high psychological distress – 49.7% in women and 37.3% in men. We included 1598 participants in the multiple logistic regression analysis. The adjusted odds of having high psychological distress was significantly higher among participants who were 25-34 years old (AOR 1.30, 95% CI 1.01-1.70) and 35 years and above (AOR 1.68, 95% CI 1.19-2.35), had been to a drug rehabilitation center (AOR 2.06, 95% CI 1.48-2.86), had been insulted by family members (AOR 2.09, 95% CI 1.62-2.70), and had been sexually harassed/abused by someone when they were growing up (AOR 1.80, 95% CI 1.38-2.36). The odds of having high psychological distress was significantly lower among participants who were male (AOR 0.53, 95% CI 0.41-0.69), lived in own dwelling (AOR 0.56, 95% CI 0.41-0.77), reported injecting as the mode of the first drug use (AOR 0.56, 95% CI 0.34-0.91), and had someone taking care of when getting sick (AOR 0.68, 95% CI 0.47-0.99).Conclusions: This study documents a high prevalence of psychological distress among people who use drugs in Cambodia. Intervention programs that attempt to address mental health problems among people who use drugs in resource-limited settings should be gender- and age-sensitive and target more marginalized subpopulations. Mental health services can be integrated into HIV and harm-reduction programs for people who use drugs.

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Effects of the Kampo Formula Tokishakuyakusan on Headaches and Concomitant Depression in Middle-Aged Women

Evidence-based Complementary and Alternative Medicine ◽

10.1155/2014/593560 ◽

2014 ◽

Vol 2014 ◽

pp. 1-8 ◽

Cited By ~ 13

Author(s):

Masakazu Terauchi ◽

Shiro Hiramitsu ◽

Mihoko Akiyoshi ◽

Yoko Owa ◽

Kiyoko Kato ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Depressive Symptoms ◽

Hormone Therapy ◽

Logistic Regression Analysis ◽

Multiple Logistic Regression Analysis ◽

Headache Frequency ◽

Multiple Logistic Regression ◽

Herbal Therapy ◽

Middle Aged

Objectives. To identify the correlates of headaches in middle-aged women and investigate the effects ofTokishakuyakusan(TJ-23), a formula of traditional Japanese herbal therapyKampo, on headache and concomitant depression.Methods. We examined cross-sectionally the baseline records of 345 women aged 40–59 years who visited our menopause clinic. Among them, 37 women with headaches were treated with either hormone therapy (HT) or TJ-23; the data of these women were retrospectively analyzed to compare the effects of the treatment.Results. The women were classified into 4 groups on the basis of their headache frequency, and no significant intergroup differences were noted in the physical or lifestyle factors, except age. Multiple logistic regression analysis revealed that the significant contributors to the women’s headaches were their age (adjusted OR 0.92 (95% CI 0.88–0.97)) and their depressive symptoms (adjusted OR 1.73 (95% CI 1.39–2.16)). Compared to women treated with HT, women treated with TJ-23 reported relief from headaches (65% versus 29%) and concomitant depression (60% versus 24%) more frequently. Improvement in the scores of headaches and depression correlated significantly with TJ-23 treatment.Conclusions. Headache in middle-aged women is significantly associated with depression; TJ-23 could be effective for treating both of these symptoms.

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