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      The validity of proxy-based data on loneliness in suicide research: a case-control psychological autopsy study in rural China

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          Abstract

          Background

          There is a lack of evidence for the role of loneliness on suicide using psychological autopsy method, and the validity of proxy informants’ reports on loneliness is not well established. This study aimed to investigate the validity of proxy respondent reports on loneliness, and the reliability and validity of the University of California Los Angeles Loneliness Scale-6 (ULS-6) as used in psychological autopsy method with rural elderly people in China.

          Methods

          Two hundred forty-two suicide cases and 242 normal community controls were selected, and the psychological autopsy method was utilized to collect information. Data from proxy respondents of the living controls were compared with data reported by the targets (gold standards).

          Results

          Subject-proxy concordance for ULS-6 was fair (ICC = 0.447) in the living controls. The suicide cases were more likely to have a higher score of ULS-6 than the living controls. Additionally, our data supported that ULS-6 had adequate psychometric properties in both suicide and control groups: factor analyses yielded one-factor component solution; Cronbach’s alpha (both > 0.90) demonstrated excellent internal consistency; the Spearman correlation analysis indicated that the ULS-6 score was positively correlated with depression; and negatively correlated with QOL and social support.

          Conclusions

          Results support proxy-based data on loneliness in research of suicide in older adults in rural China, and the ULS-6 is a psychometrically sound instrument for measuring loneliness in psychological autopsy studies.

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          Most cited references28

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          Risk factors for suicide in China: a national case-control psychological autopsy study.

          Suicide is the fifth most important cause of death in China, but the reasons for the high rate and unique pattern of characteristics of those who kill themselves are unknown. We pretested, and then administered a comprehensive interview to family members and close associates of 519 people who committed suicide and of 536 people who died from other injuries (controls) randomly selected from 23 geographically representative sites in China. After adjustment for sex, age, location of residence, and research site, eight significant predictors of suicide remained in the final unconditional logistic regression model. In order of importance they were: high depression symptom score, previous suicide attempt, acute stress at time of death, low quality of life, high chronic stress, severe interpersonal conflict in the 2 days before death, a blood relative with previous suicidal behaviour, and a friend or associate with previous suicidal behaviour. Suicide risk increased substantially with exposure to multiple risk factors: none of the 265 deceased people who were exposed to one or fewer of the eight risk factors died by suicide, but 30% (90/299) with two or three risk factors, 85% (320/377) with four or five risk factors, and 96% (109/114) with six or more risk factors died by suicide. Despite substantial differences between characteristics of people who commit suicide in China and the west, risk factors for suicide do not differ greatly. Suicide prevention programmes that concentrate on a single risk factor are unlikely to reduce suicide rates substantially; preventive efforts should focus on individuals exposed to multiple risk factors.
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            Abbreviating the Duke Social Support Index for use in chronically ill elderly individuals.

            The 35-item Duke Social Support Index (DSSI) measures multiple dimensions of social support and has been used extensively in cross-sectional and longitudinal studies of aging. Epidemiological studies of chronically ill, frail elderly individuals often wish to include a measure of social support. However, most multidimensional measures (including the DSSI) are long and may exhaust the patient, especially when included in an often already congested interview schedule. The authors have developed two abbreviated versions of the DSSI (23-item and 11-item) that capture the essential components of social support related to mental health outcomes and use of health services in treating elderly individuals with nonpsychiatric medical illness.
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              Loneliness, depression and sociability in old age

              Background: The elderly population is large in general and growing due to advancement of health care education. These people are faced with numerous physical, psychological and social role changes that challenge their sense of self and capacity to live happily. Many people experience loneliness and depression in old age, either as a result of living alone or due to lack of close family ties and reduced connections with their culture of origin, which results in an inability to actively participate in the community activities. With advancing age, it is inevitable that people lose connection with their friendship networks and that they find it more difficult to initiate new friendships and to belong to new networks. The present study was conducted to investigate the relationships among depression, loneliness and sociability in elderly people. Materials and Methods: This study was carried out on 55 elderly people (both men and women). The tools used were Beck Depression Inventory, UCLA Loneliness Scale and Sociability Scale by Eysenck. Results: Results revealed a significant relationship between depression and loneliness. Conclusion: Most of the elderly people were found to be average in the dimension of sociability and preferred remaining engaged in social interactions. The implications of the study are discussed in the article.
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                Author and article information

                Contributors
                angela_niulu@hotmail.com
                Jiacunxian@sdu.edu.cn
                Zhenyu.m@qq.com
                609142326@qq.com
                174796678@qq.com
                020-81264807 , Liangzhou_csu@vip.163.com
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                1 May 2018
                1 May 2018
                2018
                : 18
                : 116
                Affiliations
                [1 ]ISNI 0000 0000 8653 1072, GRID grid.410737.6, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), ; 36 Mingxin Road, Liwan District, Guangzhou, 510370 China
                [2 ]ISNI 0000 0004 1761 1174, GRID grid.27255.37, School of Public Health, , Shandong University, ; Jinan, China
                [3 ]ISNI 0000 0004 1798 2653, GRID grid.256607.0, School of Public Health, , Guangxi Medical University, ; Nanning, China
                [4 ]ISNI 0000 0001 0379 7164, GRID grid.216417.7, Xiangya School of Public Health, , Central South University, ; Changsha, China
                Article
                1687
                10.1186/s12888-018-1687-x
                5930838
                29716552
                da292691-8ea3-4d40-9e6e-d24fd1b00057
                © The Author(s). 2018

                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
                : 16 January 2018
                : 12 April 2018
                Funding
                Funded by: American Foundation of Suicide Prevention
                Award ID: SRG-0-169-12
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Clinical Psychology & Psychiatry
                loneliness,psychometric properties,psychological autopsy,chinese rural elderly,suicide

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