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OBJECTIVE: To develop an integrated and comprehensive community-based mental healthcare model, opinions were collected on various issues from practitioners in mental health service institutions currently offering mental healthcare services in Seoul through a focus group interview, qualitative research method, and Delphi survey. METHODS: The focus group interview was conducted with six practitioners from mental health welfare centers and six hospital-based psychiatrists. A questionnaire of opinions on the mental healthcare model was filled by these practitioners and psychiatrists. A Delphi survey was additionally conducted with a panel of 20 experts from a community mental health welfare center and hospital-based psychiatrists. RESULTS: The focus group interview results showed the need for integrated community-based mental healthcare service and the need to establish a system for managing mental and physical health in an integrated manner. Based on the survey results, the current status of community-based mental healthcare services was investigated, and the direction of the revised model was established. The Delphi survey was then conducted to refine the revised model. CONCLUSION: The present study presents the Seoul-type community-based mental healthcare model with integrated services between a psychiatric hospital with a mental health welfare center as well as combined mental and physical health services. This is ultimately expected to help people with mental illnesses live healthy lives by meeting their needs as community members.
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OBJECTIVE: Type D personality can be regarded as a promising cardiovascular risk marker that has been repeatedly linked to relevant indicators of mental health, quality of life, morbidity, and mortality in cardiac patients. Heart rate variability (HRV) is a non-invasive technology that can provide information regarding a patient's sympathetic/parasympathetic balance and the control mechanisms of the autonomic systems in the cardiovascular system. As both type D personality and HRV are parameters related to the cardiovascular system, we assumed a relationship between type D personality and HRV. This study set out to identify the relationship between type D and HRV and the differences in HRV variables between type D and non-type D personalities. METHODS: Patients who visited Guro Community Mental Health Center from January 2011 to December 2012 were surveyed. They were evaluated using both the Korean version of the Type D Personality-14 for type D personality and HRV. During the survey, those who reported major cardiovascular disease that can affect heart rate variability were excluded from the study. RESULTS: Our analysis included 559 participants, 249 of whom were classified as type D personality. No significant differences were found in the HRV variables between the type D group and the non-type D group. There were also no clinically meaningful correlations between HRV variables and type D total/subscale scores when controlled for patient age. CONCLUSION: A relationship between HRV and type D personality was not identified using short-term HRV measurements in non-clinical patients with no definitive cardiovascular disease. Further studies using long-term HRV measurements in patients with cardiovascular disease are necessary to conclude an association between HRV and type D personality.
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OBJECTIVE: Depression during pregnancy can negatively affect both maternal and fetal health. The benefits of early detection and treatment for antenatal depression have been emphasized. Therefore, we investigated risk factors for antenatal depression with a focus on emotional support. METHODS: We conducted a cross-sectional study of pregnant women (n=1262) enrolled from the local division of a community mental health center. All subjects completed self-report questionnaires that assessed depressive mood, emotional support and other risk factors. Associations between antenatal depression and potential risk factors including emotional support were analyzed by logistic regression analysis. RESULTS: Antenatal depression was associated with various biopsychosocial correlates: unmarried state, low education, cigarette smoking, low income, familial history of depression, past history of depression, physical abuse history, sexual abuse history, premenstrual syndrome, primiparity and unplanned pregnancy. When the associations of emotional support with antenatal depression were specified by its resources, current emotional support from partner [odds ratio (OR)=2.26, 95% confidence interval (CI)=1.94-2.64] and mother (OR=1.43, 95% CI=1.26-1.62) and past experience for emotional support from mother (OR=1.52, 95% CI=1.32-1.74), but not from father significantly influenced depression during pregnancy. CONCLUSIONS: The multidimensional biopsychosocial approach would be needed to identify and assess antenatal depression. Promoting emotional support from the partner, family member and, possibly, the health provider could be a protective effect against the development of antenatal depression.
