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      Rate of psychiatric disorders and associations with quality of life among community members following the Kaohsiung gas explosion: an 18-month cross-sectional follow-up study

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          Abstract

          Objective

          To conduct a follow-up on the rate and related risk factors of probable disaster-related psychiatric disorders such as depressive disorder (major depressive episode, MDE), stress disorders, post-traumatic (posttraumatic stress disorder, PTSD), and the quality of life of the survivors of a fossil gas explosion in Taiwan 18 months after the event.

          Methods

          A community-based survey of residents of a community that experienced a petrochemical gas explosion with cross-sectional assessments was conducted 18 months after the event. Two screening tools, including the Disaster-Related Psychological Screening Test (DRPST) and Short Form 12v2 (SF-12v2), were used to survey a representative sample of 388 participants.

          Results

          The average age of 388 participants is 43.27 ± 15.98 years (males: 203, average age: 41.44 ± 15.74 years; females: 185; average age: 45.27 ± 16.03 years). Probable PTSD, probable MDE, probable PTSD and MDE, and non-PTSD or non-MDE (non-P or -M) were present in 34 (8.8%), 14 (3.6%), 9 (2.3%), and 331 (85.3%) participants, respectively. The significant associated factor for probable PTSD or MDE among those who experienced disaster was financial problems. The associated factors on different quality of life subscales were old age, physical injury, employment, educational level, financial problems, probable PTSD and probable MDE.

          Conclusion

          While participants’ psychiatric status improved after 18 months, their quality of life continued to be affected, especially the quality of life of those with probable PTSD combined with MDE. Postdisaster treatment and follow-up should be addressed to a greater degree, especially for victims with mental illness, physical injuries and financial problems.

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          Most cited references27

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          The estimation of a preference-based measure of health from the SF-12.

          The SF-12 is a multidimensional generic measure of health-related quality of life. It has become widely used in clinical trials and routine outcome assessment because of its brevity and psychometric performance, but it cannot be used in economic evaluation in its current form. We sought to derive a preference-based measure of health from the SF-12 for use in economic evaluation and to compare it with the original SF-36 preference-based index. The SF-12 was revised into a 6-dimensional health state classification (SF-6D [SF-12]) based on an item selection process designed to ensure the minimum loss of descriptive information. A sample of 241 states defined by the SF-6D (of 7500) have been valued by a representative sample of 611 members of the UK general population using the standard gamble (SG) technique. Models are estimated of the relationship between the SF-6D (SF-12) and SG values and evaluated in terms of their coefficients, overall fit, and the ability to predict SG values for all health states. The models have produced significant coefficients for levels of the SF-6D (SF-12), which are robust across model specification. The coefficients are similar to those of the SF-36 version and achieve similar levels of fit. There are concerns with some inconsistent estimates and these have been merged to produce the final recommended model. As for the SF-36 model, there is evidence of over prediction of the value of the poorest health states. The SF-12 index provides a useful tool for researchers and policy makers wishing to assess the cost-effectiveness of interventions.
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            Type D personality, mental distress, social support and health-related quality of life in coronary artery disease patients with heart failure: a longitudinal observational study

            Background The relationship between Type D personality and health related quality of life (HRQoL) in coronary artery disease patients is becoming more established, however, the factors that may explain this association remain unclear. The objective of the study was to examine the mediating effects of mental distress and social support on the relationship between the Type D personality and HRQoL in CAD patients with heart failure. Methods A total of 855 CAD patients with heart failure were assessed on Type D personality, mental distress, perceived social support and HRQoL with the following self-administered questionnaires: the Type D personality scale - 14, the Hospital Anxiety and Depression scale, the Multidimensional Scale of Perceived Social Support and the Minnesota Living with Heart Failure Questionnaire. Results The prevalence of Type D personality within the study population was 33.5%. Type D personality, anxiety symptoms, depressive symptoms and social support were all found to be determinants of decreased HRQoL (p’s < 0.001), once age, gender, NYHA functional class and acute myocardial infarction were adjusted for. Anxiety, depressive symptoms and social support were found to mediate the relationship between Type D personality and HRQoL. Type D personality exerted a stable effect on HRQoL over 24 months follow-up period. Conclusions Type D personality has an independent significant effect on the HRQoL in CAD patients with heart failure, and this relation is mediated by anxiety and depressive symptoms, social support.
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              The SF-12 as a population health measure: an exploratory examination of potential for application.

              To describe the relationships among functional health status measures (SF-12 physical and mental components summary scores), traditional measures of community health status, and social determinants of health among respondents to community health status surveys conducted in nine different communities. Data collected as part of comprehensive community health status assessments conducted in each of nine communities (in seven states) between 1992 and 1997. The purpose of each assessment was to gather data to plan and evaluate population health improvement initiatives. This is an opportunistic study drawing on the universe of community health survey data collected by the authors to support local health improvement initiatives. Both community-level as well as an aggregate of individual-level measures are used in the analysis. Within each locality, survey respondents were randomly selected using a telephone-facilitated, mailed survey methodology. The key variables reported here are functional health status measures (SF-12) and social determinants of health variables. SF-12 physical and mental component scales correlated with two of four traditional measures of community health status. At the aggregate level of analysis, significant relationships were found for seven of nine social determinants of health measures when compared with SF-12 component summary scores. Relationships between social determinants measures and PCS-12 and MCS-12 scores suggest both application possibilities and the need for additional analysis in order to understand the nature of those relationships. Physical and mental health functioning summary scores as measured by the SF-12 are useful in describing overall community health status when compared with traditional measures such as total deaths, age-adjusted mortality, or physician to population ratio. The SF-12 can also be used to measure the relationship between physical and mental health functioning (as proxies for community health status) and the social determinants of health. This analysis can help to refine our understanding of how social determinants and health status interact in a community or population as a precursor to the development of models of community or population health.
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                Author and article information

                Contributors
                886-7-7513171-2232 , f50911.tw@yahoo.com.tw
                Journal
                Health Qual Life Outcomes
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central (London )
                1477-7525
                11 January 2019
                11 January 2019
                2019
                : 17
                : 7
                Affiliations
                [1 ]ISNI 0000 0000 9068 9083, GRID grid.412076.6, Graduate Institute of Gender Education, , National Kaohsiung Normal University, ; Kaohsiung City, Taiwan
                [2 ]Kaohsiung City Government Department of Health, Kaohsiung City, Taiwan
                [3 ]ISNI 0000 0004 0616 5076, GRID grid.411209.f, Department of Theology, , Chang Jung Christian University, ; Tainan City, Taiwan
                [4 ]GRID grid.410770.5, Department of Surgery, , Tainan Municipal AN-NAN Hospital-China Medical University, ; Tainan City, Taiwan
                [5 ]ISNI 0000 0004 0572 7196, GRID grid.419674.9, Department of Nursing, , Meiho University, ; Ping-Tong County, Taiwan
                [6 ]ISNI 0000 0004 0582 5722, GRID grid.414813.b, Department of Nursing, , Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, ; Kaohsiung City, Taiwan
                [7 ]ISNI 0000 0004 0637 1806, GRID grid.411447.3, Department of Nursing, , I-Shou University, ; Kaohsiung County, Taiwan
                [8 ]ISNI 0000 0004 0582 5722, GRID grid.414813.b, Superintendent office, , Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, ; 130 Kai-Syuan 2nd Rd, Lingya District, Kaohsiung City, Taiwan
                Author information
                http://orcid.org/0000-0001-7802-3489
                Article
                1076
                10.1186/s12955-018-1076-7
                6330396
                30635003
                7252857d-4a8a-476c-a408-ec8a5d91df48
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 7 May 2018
                : 20 December 2018
                Funding
                Funded by: Ministry of Science and Technology of the Taiwan
                Award ID: MOST105-2625-M-280-001-
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Health & Social care
                depressive disorder,stress disorders,post-traumatic,quality of life
                Health & Social care
                depressive disorder, stress disorders, post-traumatic, quality of life

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