Dataset Information

Loneliness, but not social distancing, is associated with the incidence of suicidal ideation during the COVID-19 outbreak: a longitudinal study.

ABSTRACT:

Background

Although social distancing is necessary to decrease COVID-19 dissemination, it might also be associated with suicidal ideation. Therefore, we analyzed the impact of social distancing and loneliness in suicidal ideation.

Methods

We performed two waves of a snowball sample, web-based survey in Brazil (W1: from May 6th to June 6th, 2020; W2: from June 6th to July 6th, 2020). We assessed whether risk factors related to social relationships (loneliness, living alone, not leaving home, and the number of days practicing social distancing) at W1 were associated with suicidal ideation at W1 and W2 using multiple regression models. Analyses were adjusted for sociodemographic, mental health, and lifestyle variables.

Results

A total of 1,674 (18-75 years old; 86.5% females) were included in our longitudinal sample. Living alone (OR: 1.16; 95%CI = 1.03 - 1.30; p=0.015), number of days practicing social distancing (OR: 1.002; 95%CI = 1.000 - 1.004; p=0.027), and loneliness (OR: 1.49; 95%CI = 1.32 - 1.68; p<0.001) were associated with suicidal ideation in the cross-sectional analysis of W1. Only loneliness (OR= 2.12; 95%CI = 1.06 - 4.24; p = 0.033) remained significant as a risk factor to suicidal ideation in the longitudinal analysis between both waves.

Limitation

Snowball, convenience sample design limits outcome estimates. Assessments were not objectively performed.

Conclusion

Loneliness was consistently associated with the incidence of suicidal ideation, while other variables, such as living alone, not leaving home, and the number of days practicing social distancing, were not. Measures to overcome loneliness are therefore necessary to reduce suicidal ideation during pandemics.

SUBMITTER: Antonelli-Salgado T

PROVIDER: S-EPMC9754761 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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Publications

Loneliness, but not social distancing, is associated with the incidence of suicidal ideation during the COVID-19 outbreak: a longitudinal study.

Antonelli-Salgado Thyago T Monteiro Gabriela Massaro Carneiro GMC Marcon Grasiela G Roza Thiago Henrique TH Zimerman Aline A Hoffmann Maurício Scopel MS Cao Bo B Hauck Simone S Brunoni André Russowsky AR Passos Ives Cavalcante IC

Journal of affective disorders 20210505

<h4>Background</h4>Although social distancing is necessary to decrease COVID-19 dissemination, it might also be associated with suicidal ideation. Therefore, we analyzed the impact of social distancing and loneliness in suicidal ideation.<h4>Methods</h4>We performed two waves of a snowball sample, web-based survey in Brazil (W1: from May 6th to June 6th, 2020; W2: from June 6th to July 6th, 2020). We assessed whether risk factors related to social relationships (loneliness, living alone, not lea ...[more]

PMID: 33991946

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Project description:BackgroundStudying the impact of COVID-19 on mental health is both compelling and imperative for the health care system's preparedness development. Discovering how pandemic conditions and governmental strategies and measures have impacted mental health is a challenging task. Mental health issues, such as depression and suicidal tendency, are traditionally explored through psychological battery tests and clinical procedures. To address the stigma associated with mental illness, social media is used to examine language patterns in posts related to suicide. This strategy enhances the comprehension and interpretation of suicidal ideation. Despite easy expression via social media, suicidal thoughts remain sensitive and complex to comprehend and detect. Suicidal ideation captures the new suicidal statements used during the COVID-19 pandemic that represents a different context of expressions.ObjectiveIn this study, our aim was to detect suicidal ideation by mining textual content extracted from social media by leveraging state-of-the-art natural language processing (NLP) techniques.MethodsThe work was divided into 2 major phases, one to classify suicidal ideation posts and the other to extract factors that cause suicidal ideation. We proposed a hybrid deep learning-based neural network approach (Bidirectional Encoder Representations from Transformers [BERT]+convolutional neural network [CNN]+long short-term memory [LSTM]) to classify suicidal and nonsuicidal posts. Two state-of-the-art deep learning approaches (CNN and LSTM) were combined based on features (terms) selected from term frequency-inverse document frequency (TF-IDF), Word2vec, and BERT. Explainable artificial intelligence (XAI) was used to extract key factors that contribute to suicidal ideation in order to provide a reliable and sustainable solution.ResultsOf 348,110 records, 3154 (0.9%) were selected, resulting in 1338 (42.4%) suicidal and 1816 (57.6%) nonsuicidal instances. The CNN+LSTM+BERT model achieved superior performance, with a precision of 94%, a recall of 95%, an F1-score of 94%, and an accuracy of 93.65%.ConclusionsConsidering the dynamic nature of suicidal behavior posts, we proposed a fused architecture that captures both localized and generalized contextual information that is important for understanding the language patterns and predict the evolution of suicidal ideation over time. According to Local Interpretable Model-Agnostic Explanations (LIME) and Shapley Additive Explanations (SHAP) XAI algorithms, there was a drift in the features during and before COVID-19. Due to the COVID-19 pandemic, new features have been added, which leads to suicidal tendencies. In the future, strategies need to be developed to combat this deadly disease.

Project description:Background: The mitigation strategies employed against the COVID-19 pandemic have severe mental health consequences. In particular, as a result of the social distancing protocols, loneliness is likely to increase. This study investigates (a) potential risk and resilience factors for loneliness in the Norwegian population during the strict social distancing non-pharmacological interventions (NPIs) implemented against the pandemic and (b) the associations between loneliness and psychopathology symptoms. Methods: A survey was disseminated online to the adult Norwegian population when strict social distancing measures had been implemented for 2 weeks. The resulting sample of 10,061 respondents was unproportionate in terms of gender and educational level and thus sensitivity analyses were conducted. The levels of loneliness were compared across demographic sub-groups, and regression analyses were conducted to identify potential risk and resilience factors for loneliness and associations between loneliness and psychopathology symptoms. Results: Among the stable factors, being single and having a psychiatric diagnosis were related to more loneliness with small effect sizes. Among the state risk factors, more rumination and worry in general were associated with stronger loneliness, showing a medium effect size. Among the coping behaviors examined, doing new things at home not done otherwise was negatively related to loneliness, with a small effect size. Loneliness was associated with both depression and anxiety with small effect sizes when all potential confounders and psychiatric diagnosis were controlled for. The relationship to depression was more marked than the relationship to anxiety. Conclusions: The findings suggest that singles and those with a psychiatric diagnosis were most affected by loneliness during the implementation of social distancing measures to impede the coronavirus. The results support the link between loneliness and depression and anxiety symptoms. The results of the analysis of potential risk and resilience factors point to intervention targets for reducing loneliness during pandemic crises.

Project description:ObjectivesWe aim to reveal how loneliness relates to suicidal ideation following the onset of the COVID-19 pandemic.DesignCross-sectional online survey.SettingCommunity cohort study in Japan.ParticipantsThe second wave of a large web-based survey, Japan COVID-19 and Society Internet Survey, was conducted in February 2021, and we analysed the data of 6436 men and 5380 women who were aged 20-59 years.Main outcome measuresThe prevalence ratios (PRs) of suicidal ideation due to loneliness, depression, social isolation and decline in income during the pandemic and other sociodemographic and economic information were adjusted in the analysis.Statistical methodsEstimations were conducted by separating a male and female sample. The survey weight (inverse probability weighting) was applied for analyses, and a Poisson regression model was used with all the potential confounders adjected.ResultsOverall, 15.1% of male and 16.3% of female participants were found to have had suicidal ideation during the COVID-19 pandemic. Among them, 23% of male and 20% of female participants experienced suicidal ideation for the first time. The results of the Poisson regression suggested that those who were feeling lonely had higher PRs for suicidal ideation (4.83 for men (95% CI, 3.87 to 6.16) and 6.19 for women (95% CI, 4.77 to 8.45)). The relationship between loneliness and suicidal ideation remained robust even after adjusting for depression, although there were declines in PRs. Additionally, the results showed that those who were lonely, and continued to feel lonely during the pandemic, had the highest PRs of suicidal ideation.ConclusionLoneliness had both direct and indirect effects on suicidal ideation mediated through depression. Those who felt lonelier during the pandemic had the highest risk of suicidal ideation. It is necessary to adopt national measures focused on providing psychological support to people who feel lonely to prevent them from taking their own lives.

Dataset Information

Loneliness, but not social distancing, is associated with the incidence of suicidal ideation during the COVID-19 outbreak: a longitudinal study.

Background

Methods

Results

Limitation

Conclusion

Publications

Loneliness, but not social distancing, is associated with the incidence of suicidal ideation during the COVID-19 outbreak: a longitudinal study.

Similar Datasets

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