We studied the incidence and results of treatment of secondary hypertension in Yeungnam University Hospital. Nineteen hundred fifty patients with hypertension were included from march 1990 to march 1994. We analysed the prevalence of secondary hypertension and results of treatment. The incidence of secondary hypertension in Yeungnam University Hospital was six percent. The most common underlying causes of secondary hypertension was renal parenchymal disease. Patients with three forms of potentially reversible secondary hypertension, namely, renovascular hypertension, endocrine disease, exogenous hormone, were assed to determine whether surgery or withdrawal of the exogenous hormane had led to an improvement in blood pressure control. The incidence of secondary hypertension in Yeungnam University Hospital was low(6%), but some of these are curable. Thus it is very inportant that evaluate the secondary hypertension.
Blood Pressure ; Endocrine System Diseases ; Equidae ; Humans ; Hypertension* ; Hypertension, Renovascular ; Incidence ; Prevalence

BACKGROUND: The investigations of personality traits have been the issue of many studies on patients with tension-type headache. However, there was few comparison study of personality traits between the patients with episodic tension-type headache (ETTH) and chronic tension-type headache (CTTH) using Minnesota Multiphasic Personality Inventory (MMPI). METHODS: The study was consecutively made of the personality profiles of two groups with ETTH (137 patients) and CTTH (115 patients) in accordance with the International Headache Society (IHS) criteria, employing the MMPI. RESULTS: The two groups could be classified into three clusters by a multivariate cluster analysis, which are relatively normal profile (cluster I), somatic profile (cluster II, elevated Hs-D-Hy scales), and psychosomatic profile (cluster III, elevated Pa-Pt-Sc-Si and Hs-D-Hy scales). The proportion of the patients with CTTH in the psychosomatic profile group was stastically more significant (59.6%) than that of the patients with ETTH (40.4%) by a chi-square test. CONCLUSIONS: This study shows that the psychosomatic profile might be more common in the CTTH patients than in the ETTH patients.
Headache ; Humans ; MMPI* ; Tension-Type Headache*

Objective: The aims of this study were to explore the prevalence of and identify predictors of anxiety and depression related to coronavirus disease of 2019 (COVID-19) in South Korea. Methods: The analysis is based on a quota survey design and a sampling frame that permitted recruitment of a national sample of 1,014 individuals between March 17–31, 2020. Several standardized measurements were used, including GAD-7, PHQ-9, COVID-19 related fear, restrictions in deaily life, as well as sociodemographic information and physical and psychosocial needs during the pandemic. Multiple logistic regression was conducted to analyze the influence of sociodemographic factors, fear, and physical/psychosocial needs on anxiety and depression. Results: Significant numbers of the respondents were identifiable anxiety (19.0%) and depression group (17.5%), respectively. This indicates that the depression and anxiety prevalence rate after the COVID-19 is substantially high compared to the depression rate of 2.6% in 2020 and 2.8% in 2018 both reported in the Korea Community Health Survey and the anxiety rate of 5.7% reported in 2016 Survey of Mental Disorders in Korea. Multiple logistic regression results showed age, COVID-19 related fear, and the level of restrictions in daily as significant factors in understanding and predicting the anxiety group. Likfewise, the COVID-19 related fear, restrictions in daily life, and need for economic support were important predictors in predicting the depression group. Conclusion Findings on predictors for greater vulnerability to anxiety and depression has important implications for public mental health in the context of the COVID-19 pandemic.

Objective: The aims of this study were to explore the prevalence of and identify predictors of anxiety and depression related to coronavirus disease of 2019 (COVID-19) in South Korea. Methods: The analysis is based on a quota survey design and a sampling frame that permitted recruitment of a national sample of 1,014 individuals between March 17–31, 2020. Several standardized measurements were used, including GAD-7, PHQ-9, COVID-19 related fear, restrictions in deaily life, as well as sociodemographic information and physical and psychosocial needs during the pandemic. Multiple logistic regression was conducted to analyze the influence of sociodemographic factors, fear, and physical/psychosocial needs on anxiety and depression. Results: Significant numbers of the respondents were identifiable anxiety (19.0%) and depression group (17.5%), respectively. This indicates that the depression and anxiety prevalence rate after the COVID-19 is substantially high compared to the depression rate of 2.6% in 2020 and 2.8% in 2018 both reported in the Korea Community Health Survey and the anxiety rate of 5.7% reported in 2016 Survey of Mental Disorders in Korea. Multiple logistic regression results showed age, COVID-19 related fear, and the level of restrictions in daily as significant factors in understanding and predicting the anxiety group. Likfewise, the COVID-19 related fear, restrictions in daily life, and need for economic support were important predictors in predicting the depression group. Conclusion Findings on predictors for greater vulnerability to anxiety and depression has important implications for public mental health in the context of the COVID-19 pandemic.

Objective: This study aimed to observe the changes in people’s depressive levels over 9 months since the coronavirus disease of 2019 (COVID-19) outbreak as well as to identify the predictors of people’s depressive levels including COVID-19 infection fear in the context of South Korea in 2020. Methods: For these purposes, four cross-sectional surveys were periodically implemented from March to December 2020. We randomly recruited 6,142 Korean adults (aged 19 to 70) by using a quota survey. Along with descriptive analysis, which included a one-way analysis of variance and correlations, multiple regression models were built to identify the predictors of people’s depressive levels during the pandemic. Results Overall, people’s depressive levels and fear of COVID-19 infection gradually increased since the COVID-19 outbreak. In addition to demographic variables (i.e., being a female, young age, unemployed, and living alone) and the duration of the pandemic, people’s COVID-19 infection fear was associated with their depressive levels. Conclusion To ameliorate these rising mental health issues, access to mental health services should be secured and expanded, particularly for individuals who present greater vulnerabilities due to socioeconomic characteristics that may affect their mental health.

Objective: Understanding the specific fears associated with coronavirus disease-2019 (COVID-19), particularly within different cultural contexts, is crucial for developing effective mental health interventions. This study aims to develop and validate the COVID-19 Infection Fear Scale (CIFS) in a collectivist cultural context such as Korea. Methods: A total of 1,002 adults aged 19 to 70 participated in an online survey in May 2020. The CIFS was developed through a multidisciplinary approach, categorizing public fears into two domains: fear of infection and fear of negative outcomes post-infection. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to validate the factor structure. Reliability and construct validity were assessed through correlations with anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9), suicidal ideation, and coping strategies. Results: The CIFS demonstrated high internal consistency. EFA and CFA supported a two-factor model. The Rasch analysis confirmed good item fit, with infit and outfit indices within the acceptable range. Differential item functioning analysis indicated minor sex and age biases, addressed without removing items. Construct validity was supported by significant correlations with anxiety, depression, suicidal ideation, and coping strategies. Fear of negative consequences post-infection showed a stronger correlation with psychological distress than fear of infection. Conclusion The CIFS is a reliable and valid tool for measuring fear related to COVID-19 infection and its consequences, particularly within a collectivist cultural context. This scale can aid in identifying individuals at higher risk of psychological distress and inform targeted interventions.

Objective: Understanding the specific fears associated with coronavirus disease-2019 (COVID-19), particularly within different cultural contexts, is crucial for developing effective mental health interventions. This study aims to develop and validate the COVID-19 Infection Fear Scale (CIFS) in a collectivist cultural context such as Korea. Methods: A total of 1,002 adults aged 19 to 70 participated in an online survey in May 2020. The CIFS was developed through a multidisciplinary approach, categorizing public fears into two domains: fear of infection and fear of negative outcomes post-infection. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to validate the factor structure. Reliability and construct validity were assessed through correlations with anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9), suicidal ideation, and coping strategies. Results: The CIFS demonstrated high internal consistency. EFA and CFA supported a two-factor model. The Rasch analysis confirmed good item fit, with infit and outfit indices within the acceptable range. Differential item functioning analysis indicated minor sex and age biases, addressed without removing items. Construct validity was supported by significant correlations with anxiety, depression, suicidal ideation, and coping strategies. Fear of negative consequences post-infection showed a stronger correlation with psychological distress than fear of infection. Conclusion The CIFS is a reliable and valid tool for measuring fear related to COVID-19 infection and its consequences, particularly within a collectivist cultural context. This scale can aid in identifying individuals at higher risk of psychological distress and inform targeted interventions.

Objective: Understanding the specific fears associated with coronavirus disease-2019 (COVID-19), particularly within different cultural contexts, is crucial for developing effective mental health interventions. This study aims to develop and validate the COVID-19 Infection Fear Scale (CIFS) in a collectivist cultural context such as Korea. Methods: A total of 1,002 adults aged 19 to 70 participated in an online survey in May 2020. The CIFS was developed through a multidisciplinary approach, categorizing public fears into two domains: fear of infection and fear of negative outcomes post-infection. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to validate the factor structure. Reliability and construct validity were assessed through correlations with anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9), suicidal ideation, and coping strategies. Results: The CIFS demonstrated high internal consistency. EFA and CFA supported a two-factor model. The Rasch analysis confirmed good item fit, with infit and outfit indices within the acceptable range. Differential item functioning analysis indicated minor sex and age biases, addressed without removing items. Construct validity was supported by significant correlations with anxiety, depression, suicidal ideation, and coping strategies. Fear of negative consequences post-infection showed a stronger correlation with psychological distress than fear of infection. Conclusion The CIFS is a reliable and valid tool for measuring fear related to COVID-19 infection and its consequences, particularly within a collectivist cultural context. This scale can aid in identifying individuals at higher risk of psychological distress and inform targeted interventions.

Objective: Understanding the specific fears associated with coronavirus disease-2019 (COVID-19), particularly within different cultural contexts, is crucial for developing effective mental health interventions. This study aims to develop and validate the COVID-19 Infection Fear Scale (CIFS) in a collectivist cultural context such as Korea. Methods: A total of 1,002 adults aged 19 to 70 participated in an online survey in May 2020. The CIFS was developed through a multidisciplinary approach, categorizing public fears into two domains: fear of infection and fear of negative outcomes post-infection. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to validate the factor structure. Reliability and construct validity were assessed through correlations with anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9), suicidal ideation, and coping strategies. Results: The CIFS demonstrated high internal consistency. EFA and CFA supported a two-factor model. The Rasch analysis confirmed good item fit, with infit and outfit indices within the acceptable range. Differential item functioning analysis indicated minor sex and age biases, addressed without removing items. Construct validity was supported by significant correlations with anxiety, depression, suicidal ideation, and coping strategies. Fear of negative consequences post-infection showed a stronger correlation with psychological distress than fear of infection. Conclusion The CIFS is a reliable and valid tool for measuring fear related to COVID-19 infection and its consequences, particularly within a collectivist cultural context. This scale can aid in identifying individuals at higher risk of psychological distress and inform targeted interventions.

Objective: Understanding the specific fears associated with coronavirus disease-2019 (COVID-19), particularly within different cultural contexts, is crucial for developing effective mental health interventions. This study aims to develop and validate the COVID-19 Infection Fear Scale (CIFS) in a collectivist cultural context such as Korea. Methods: A total of 1,002 adults aged 19 to 70 participated in an online survey in May 2020. The CIFS was developed through a multidisciplinary approach, categorizing public fears into two domains: fear of infection and fear of negative outcomes post-infection. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to validate the factor structure. Reliability and construct validity were assessed through correlations with anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9), suicidal ideation, and coping strategies. Results: The CIFS demonstrated high internal consistency. EFA and CFA supported a two-factor model. The Rasch analysis confirmed good item fit, with infit and outfit indices within the acceptable range. Differential item functioning analysis indicated minor sex and age biases, addressed without removing items. Construct validity was supported by significant correlations with anxiety, depression, suicidal ideation, and coping strategies. Fear of negative consequences post-infection showed a stronger correlation with psychological distress than fear of infection. Conclusion The CIFS is a reliable and valid tool for measuring fear related to COVID-19 infection and its consequences, particularly within a collectivist cultural context. This scale can aid in identifying individuals at higher risk of psychological distress and inform targeted interventions.