Loading…

Loneliness in unemployed individuals diagnosed with mental illness

Loneliness is a widespread phenomenon, and it is associated with a variety of health problems and diseases. Unemployed individuals diagnosed with a mental illness (UMIs) are at a high risk of experiencing loneliness, with serious repercussions for their health and vocational rehabilitation. With thi...

Full description

Saved in:
Bibliographic Details
Published in:Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Gesundheitsforschung, Gesundheitsschutz, 2024-10, Vol.67 (10), p.1131
Main Authors: Hussenoeder, Felix S, Koschig, Maria, Conrad, Ines, Pabst, Alexander, Gatzsche, Katharina, Bieler, Luise, Alberti, Mathias, Stengler, Katarina, Riedel-Heller, Steffi G
Format: Article
Language:ger
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue 10
container_start_page 1131
container_title Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
container_volume 67
creator Hussenoeder, Felix S
Koschig, Maria
Conrad, Ines
Pabst, Alexander
Gatzsche, Katharina
Bieler, Luise
Alberti, Mathias
Stengler, Katarina
Riedel-Heller, Steffi G
description Loneliness is a widespread phenomenon, and it is associated with a variety of health problems and diseases. Unemployed individuals diagnosed with a mental illness (UMIs) are at a high risk of experiencing loneliness, with serious repercussions for their health and vocational rehabilitation. With this study we wanted to better understand the associations between sociodemographic variables, mental health, and loneliness in UMIs. We analyzed the data of 526 unemployed individuals that received means-tested benefits as well as at least one psychiatric diagnosis. Data were collected between September 2020 and September 2023. We conducted two robust regressions with loneliness (University of California, Los Angeles, Loneliness Scale, UCLA) as an outcome (N = 526). In the first regression, we used social network as a predictor (Lubben Social Network Scale, LSNS-6); in the second regression we included the additional predictors personal debt (yes/no), depression (Patient Health Questionnaire, PHQ-9), anxiety (Mini-Symptom-Checklist,MSCL), and somatization (MSCL) as well as age, gender, education, and living with a partner as control variables. We found a significant negative association between social network and loneliness, and a significant positive association between a high level of education, depression, anxiety, and loneliness. Unemployed individuals diagnosed with a mental illness in our sample exhibited high levels of depression, anxiety, somatization, and loneliness. The associations between social network, mental health, and loneliness that we found emphasize the importance of psychological screening and/or diagnostics, and they highlight areas for prevention.
doi_str_mv 10.1007/s00103-024-03933-2
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_3090633536</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3090633536</sourcerecordid><originalsourceid>FETCH-LOGICAL-p141t-4b30ecb3bee2e2b0a1795bb4241ee7288a9f8b459215df3c3a47daa141dda1963</originalsourceid><addsrcrecordid>eNpNj01LAzEQhoMotlb_gAfZo5doJpNtNkctfkHBi56XpJlqJJtdm12l_94tVvA077w8z8Awdg7iCoTQ11kIEMiFVFygQeTygE1BoeZQVtXhvzxhJzl_jHhZSTxmEzQAUis9ZbfLNlEMiXIuQiqGRE0X2y35cfPhK_jBxlz4YN9Sm8f2O_TvRUOpt7EIMe68U3a0HiE6288Ze72_e1k88uXzw9PiZsk7UNBz5VDQyqEjkiSdsKBN6ZySCoi0rCpr1pVTpZFQ-jWu0CrtrR1d7y2YOc7Y5e_dbtN-DpT7ugl5RTHaRO2QaxRGzBFL3KEXe3RwDfm624TGbrb139_4A3moWyg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3090633536</pqid></control><display><type>article</type><title>Loneliness in unemployed individuals diagnosed with mental illness</title><source>Springer Nature</source><creator>Hussenoeder, Felix S ; Koschig, Maria ; Conrad, Ines ; Pabst, Alexander ; Gatzsche, Katharina ; Bieler, Luise ; Alberti, Mathias ; Stengler, Katarina ; Riedel-Heller, Steffi G</creator><creatorcontrib>Hussenoeder, Felix S ; Koschig, Maria ; Conrad, Ines ; Pabst, Alexander ; Gatzsche, Katharina ; Bieler, Luise ; Alberti, Mathias ; Stengler, Katarina ; Riedel-Heller, Steffi G</creatorcontrib><description>Loneliness is a widespread phenomenon, and it is associated with a variety of health problems and diseases. Unemployed individuals diagnosed with a mental illness (UMIs) are at a high risk of experiencing loneliness, with serious repercussions for their health and vocational rehabilitation. With this study we wanted to better understand the associations between sociodemographic variables, mental health, and loneliness in UMIs. We analyzed the data of 526 unemployed individuals that received means-tested benefits as well as at least one psychiatric diagnosis. Data were collected between September 2020 and September 2023. We conducted two robust regressions with loneliness (University of California, Los Angeles, Loneliness Scale, UCLA) as an outcome (N = 526). In the first regression, we used social network as a predictor (Lubben Social Network Scale, LSNS-6); in the second regression we included the additional predictors personal debt (yes/no), depression (Patient Health Questionnaire, PHQ-9), anxiety (Mini-Symptom-Checklist,MSCL), and somatization (MSCL) as well as age, gender, education, and living with a partner as control variables. We found a significant negative association between social network and loneliness, and a significant positive association between a high level of education, depression, anxiety, and loneliness. Unemployed individuals diagnosed with a mental illness in our sample exhibited high levels of depression, anxiety, somatization, and loneliness. The associations between social network, mental health, and loneliness that we found emphasize the importance of psychological screening and/or diagnostics, and they highlight areas for prevention.</description><identifier>ISSN: 1437-1588</identifier><identifier>EISSN: 1437-1588</identifier><identifier>DOI: 10.1007/s00103-024-03933-2</identifier><identifier>PMID: 39112747</identifier><language>ger</language><publisher>Germany</publisher><ispartof>Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2024-10, Vol.67 (10), p.1131</ispartof><rights>2024. The Author(s).</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39112747$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hussenoeder, Felix S</creatorcontrib><creatorcontrib>Koschig, Maria</creatorcontrib><creatorcontrib>Conrad, Ines</creatorcontrib><creatorcontrib>Pabst, Alexander</creatorcontrib><creatorcontrib>Gatzsche, Katharina</creatorcontrib><creatorcontrib>Bieler, Luise</creatorcontrib><creatorcontrib>Alberti, Mathias</creatorcontrib><creatorcontrib>Stengler, Katarina</creatorcontrib><creatorcontrib>Riedel-Heller, Steffi G</creatorcontrib><title>Loneliness in unemployed individuals diagnosed with mental illness</title><title>Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz</title><addtitle>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz</addtitle><description>Loneliness is a widespread phenomenon, and it is associated with a variety of health problems and diseases. Unemployed individuals diagnosed with a mental illness (UMIs) are at a high risk of experiencing loneliness, with serious repercussions for their health and vocational rehabilitation. With this study we wanted to better understand the associations between sociodemographic variables, mental health, and loneliness in UMIs. We analyzed the data of 526 unemployed individuals that received means-tested benefits as well as at least one psychiatric diagnosis. Data were collected between September 2020 and September 2023. We conducted two robust regressions with loneliness (University of California, Los Angeles, Loneliness Scale, UCLA) as an outcome (N = 526). In the first regression, we used social network as a predictor (Lubben Social Network Scale, LSNS-6); in the second regression we included the additional predictors personal debt (yes/no), depression (Patient Health Questionnaire, PHQ-9), anxiety (Mini-Symptom-Checklist,MSCL), and somatization (MSCL) as well as age, gender, education, and living with a partner as control variables. We found a significant negative association between social network and loneliness, and a significant positive association between a high level of education, depression, anxiety, and loneliness. Unemployed individuals diagnosed with a mental illness in our sample exhibited high levels of depression, anxiety, somatization, and loneliness. The associations between social network, mental health, and loneliness that we found emphasize the importance of psychological screening and/or diagnostics, and they highlight areas for prevention.</description><issn>1437-1588</issn><issn>1437-1588</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpNj01LAzEQhoMotlb_gAfZo5doJpNtNkctfkHBi56XpJlqJJtdm12l_94tVvA077w8z8Awdg7iCoTQ11kIEMiFVFygQeTygE1BoeZQVtXhvzxhJzl_jHhZSTxmEzQAUis9ZbfLNlEMiXIuQiqGRE0X2y35cfPhK_jBxlz4YN9Sm8f2O_TvRUOpt7EIMe68U3a0HiE6288Ze72_e1k88uXzw9PiZsk7UNBz5VDQyqEjkiSdsKBN6ZySCoi0rCpr1pVTpZFQ-jWu0CrtrR1d7y2YOc7Y5e_dbtN-DpT7ugl5RTHaRO2QaxRGzBFL3KEXe3RwDfm624TGbrb139_4A3moWyg</recordid><startdate>20241001</startdate><enddate>20241001</enddate><creator>Hussenoeder, Felix S</creator><creator>Koschig, Maria</creator><creator>Conrad, Ines</creator><creator>Pabst, Alexander</creator><creator>Gatzsche, Katharina</creator><creator>Bieler, Luise</creator><creator>Alberti, Mathias</creator><creator>Stengler, Katarina</creator><creator>Riedel-Heller, Steffi G</creator><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>20241001</creationdate><title>Loneliness in unemployed individuals diagnosed with mental illness</title><author>Hussenoeder, Felix S ; Koschig, Maria ; Conrad, Ines ; Pabst, Alexander ; Gatzsche, Katharina ; Bieler, Luise ; Alberti, Mathias ; Stengler, Katarina ; Riedel-Heller, Steffi G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p141t-4b30ecb3bee2e2b0a1795bb4241ee7288a9f8b459215df3c3a47daa141dda1963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>ger</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hussenoeder, Felix S</creatorcontrib><creatorcontrib>Koschig, Maria</creatorcontrib><creatorcontrib>Conrad, Ines</creatorcontrib><creatorcontrib>Pabst, Alexander</creatorcontrib><creatorcontrib>Gatzsche, Katharina</creatorcontrib><creatorcontrib>Bieler, Luise</creatorcontrib><creatorcontrib>Alberti, Mathias</creatorcontrib><creatorcontrib>Stengler, Katarina</creatorcontrib><creatorcontrib>Riedel-Heller, Steffi G</creatorcontrib><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hussenoeder, Felix S</au><au>Koschig, Maria</au><au>Conrad, Ines</au><au>Pabst, Alexander</au><au>Gatzsche, Katharina</au><au>Bieler, Luise</au><au>Alberti, Mathias</au><au>Stengler, Katarina</au><au>Riedel-Heller, Steffi G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Loneliness in unemployed individuals diagnosed with mental illness</atitle><jtitle>Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz</jtitle><addtitle>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz</addtitle><date>2024-10-01</date><risdate>2024</risdate><volume>67</volume><issue>10</issue><spage>1131</spage><pages>1131-</pages><issn>1437-1588</issn><eissn>1437-1588</eissn><abstract>Loneliness is a widespread phenomenon, and it is associated with a variety of health problems and diseases. Unemployed individuals diagnosed with a mental illness (UMIs) are at a high risk of experiencing loneliness, with serious repercussions for their health and vocational rehabilitation. With this study we wanted to better understand the associations between sociodemographic variables, mental health, and loneliness in UMIs. We analyzed the data of 526 unemployed individuals that received means-tested benefits as well as at least one psychiatric diagnosis. Data were collected between September 2020 and September 2023. We conducted two robust regressions with loneliness (University of California, Los Angeles, Loneliness Scale, UCLA) as an outcome (N = 526). In the first regression, we used social network as a predictor (Lubben Social Network Scale, LSNS-6); in the second regression we included the additional predictors personal debt (yes/no), depression (Patient Health Questionnaire, PHQ-9), anxiety (Mini-Symptom-Checklist,MSCL), and somatization (MSCL) as well as age, gender, education, and living with a partner as control variables. We found a significant negative association between social network and loneliness, and a significant positive association between a high level of education, depression, anxiety, and loneliness. Unemployed individuals diagnosed with a mental illness in our sample exhibited high levels of depression, anxiety, somatization, and loneliness. The associations between social network, mental health, and loneliness that we found emphasize the importance of psychological screening and/or diagnostics, and they highlight areas for prevention.</abstract><cop>Germany</cop><pmid>39112747</pmid><doi>10.1007/s00103-024-03933-2</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1437-1588
ispartof Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2024-10, Vol.67 (10), p.1131
issn 1437-1588
1437-1588
language ger
recordid cdi_proquest_miscellaneous_3090633536
source Springer Nature
title Loneliness in unemployed individuals diagnosed with mental illness
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T01%3A59%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Loneliness%20in%20unemployed%20individuals%20diagnosed%20with%20mental%20illness&rft.jtitle=Bundesgesundheitsblatt,%20Gesundheitsforschung,%20Gesundheitsschutz&rft.au=Hussenoeder,%20Felix%20S&rft.date=2024-10-01&rft.volume=67&rft.issue=10&rft.spage=1131&rft.pages=1131-&rft.issn=1437-1588&rft.eissn=1437-1588&rft_id=info:doi/10.1007/s00103-024-03933-2&rft_dat=%3Cproquest_pubme%3E3090633536%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-p141t-4b30ecb3bee2e2b0a1795bb4241ee7288a9f8b459215df3c3a47daa141dda1963%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3090633536&rft_id=info:pmid/39112747&rfr_iscdi=true