1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The Relationships Between Suicidal Ideation, Meaning in Life, and Affect: a Network Analysis

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Transitioning from holistic analysis to a fine-grained level analysis may provide further understanding of psychopathology. This study aimed to explore dimension-level relationships between suicidal ideation, meaning in life, and affect in a joint framework using network analysis and to identify potential prevention and intervention targets to address suicidal ideation. A total of 852 healthy adults aged 18–35 years completed self-report scales to assess suicidal ideation, meaning in life, and affect. A regularized partial correlation network was then built to examine the links between these dimensions. Expected influence and bridge expected influence values were calculated for each node. The prevalence of suicidal ideation was 4.2%. The search for and presence of meaning in life and positive and negative affect exhibited distinct and complex links to the three dimensions of suicidal ideation (pessimism, sleep, and despair). The important central nodes were search for meaning in life, sleep, despair, and positive affect, while the critical bridge nodes were positive affect, negative affect, and presence of meaning in life. These findings provide further understanding of the specific roles of meaning in life and affect in suicidal ideation. The identified nodes may be promising targets for prevention and intervention for suicidal ideation.

          Related collections

          Most cited references68

          • Record: found
          • Abstract: found
          • Article: not found

          Development and validation of brief measures of positive and negative affect: The PANAS scales.

          In recent studies of the structure of affect, positive and negative affect have consistently emerged as two dominant and relatively independent dimensions. A number of mood scales have been created to measure these factors; however, many existing measures are inadequate, showing low reliability or poor convergent or discriminant validity. To fill the need for reliable and valid Positive Affect and Negative Affect scales that are also brief and easy to administer, we developed two 10-item mood scales that comprise the Positive and Negative Affect Schedule (PANAS). The scales are shown to be highly internally consistent, largely uncorrelated, and stable at appropriate levels over a 2-month time period. Normative data and factorial and external evidence of convergent and discriminant validity for the scales are also presented.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The meaning in life questionnaire: Assessing the presence of and search for meaning in life.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Estimating psychological networks and their accuracy: A tutorial paper

              The usage of psychological networks that conceptualize behavior as a complex interplay of psychological and other components has gained increasing popularity in various research fields. While prior publications have tackled the topics of estimating and interpreting such networks, little work has been conducted to check how accurate (i.e., prone to sampling variation) networks are estimated, and how stable (i.e., interpretation remains similar with less observations) inferences from the network structure (such as centrality indices) are. In this tutorial paper, we aim to introduce the reader to this field and tackle the problem of accuracy under sampling variation. We first introduce the current state-of-the-art of network estimation. Second, we provide a rationale why researchers should investigate the accuracy of psychological networks. Third, we describe how bootstrap routines can be used to (A) assess the accuracy of estimated network connections, (B) investigate the stability of centrality indices, and (C) test whether network connections and centrality estimates for different variables differ from each other. We introduce two novel statistical methods: for (B) the correlation stability coefficient, and for (C) the bootstrapped difference test for edge-weights and centrality indices. We conducted and present simulation studies to assess the performance of both methods. Finally, we developed the free R-package bootnet that allows for estimating psychological networks in a generalized framework in addition to the proposed bootstrap methods. We showcase bootnet in a tutorial, accompanied by R syntax, in which we analyze a dataset of 359 women with posttraumatic stress disorder available online. Electronic supplementary material The online version of this article (doi:10.3758/s13428-017-0862-1) contains supplementary material, which is available to authorized users.
                Bookmark

                Author and article information

                Contributors
                lllfmmu@fmmu.edu.cn
                zhuxia@fmmu.edu.cn
                wushj@fmmu.edu.cn
                Journal
                Int J Ment Health Addict
                Int J Ment Health Addict
                International Journal of Mental Health and Addiction
                Springer US (New York )
                1557-1874
                1557-1882
                7 February 2023
                7 February 2023
                : 1-20
                Affiliations
                [1 ]GRID grid.233520.5, ISNI 0000 0004 1761 4404, Department of Military Medical Psychology, , Air Force Medical University, ; No. 169 West Changle Road, Xi’an, Shaanxi Province, 710032 China
                [2 ]GRID grid.488137.1, ISNI 0000 0001 2267 2324, 94995 Troops of People’s Liberation Army, ; Beijing, China
                [3 ]GRID grid.233520.5, ISNI 0000 0004 1761 4404, Department of Nursing, , Air Force Medical University, ; Xi’an, China
                [4 ]Outpatient Department, PLA Air Force 986 Hospital, Xi’an, China
                Author information
                http://orcid.org/0000-0002-9664-3291
                Article
                1019
                10.1007/s11469-023-01019-9
                9904259
                36776916
                300dbd63-a546-4cbc-bdfb-9650510e5d46
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 January 2023
                Funding
                Funded by: the PLA military medical innovation key project
                Award ID: 18CXZ012
                Award Recipient :
                Funded by: the Key project of PLA Logistics Research Program during the 14th Five-Year Plan period
                Award ID: BKJ21J013
                Award Recipient :
                Funded by: Air Force Medical University military medical Mount Everest project
                Award ID: 2019rcfcwsj
                Award Recipient :
                Categories
                Original Article

                Health & Social care
                suicidal ideation,meaning in life,positive affect,negative affect,network analysis

                Comments

                Comment on this article