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Predictors of chronic loneliness during adolescence: a population-based cohort study
BACKGROUND: Adolescent loneliness is a growing public health issue owing to its adverse health impact. Although adolescent loneliness is common, its trajectories can show distinct patterns over time. However, there is limited knowledge regarding their determinants, particularly for chronic lonelines...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9769463/ https://www.ncbi.nlm.nih.gov/pubmed/36544216 http://dx.doi.org/10.1186/s13034-022-00545-z |
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author | Hosozawa, Mariko Cable, Noriko Yamasaki, Syudo Ando, Shuntaro Endo, Kaori Usami, Satoshi Nakanishi, Miharu Niimura, Junko Nakajima, Naomi Baba, Kaori Oikawa, Nao Stanyon, Daniel Suzuki, Kazuhiro Miyashita, Mitsuhiro Iso, Hiroyasu Hiraiwa-Hasegawa, Mariko Kasai, Kiyoto Nishida, Atsushi |
author_facet | Hosozawa, Mariko Cable, Noriko Yamasaki, Syudo Ando, Shuntaro Endo, Kaori Usami, Satoshi Nakanishi, Miharu Niimura, Junko Nakajima, Naomi Baba, Kaori Oikawa, Nao Stanyon, Daniel Suzuki, Kazuhiro Miyashita, Mitsuhiro Iso, Hiroyasu Hiraiwa-Hasegawa, Mariko Kasai, Kiyoto Nishida, Atsushi |
author_sort | Hosozawa, Mariko |
collection | PubMed |
description | BACKGROUND: Adolescent loneliness is a growing public health issue owing to its adverse health impact. Although adolescent loneliness is common, its trajectories can show distinct patterns over time. However, there is limited knowledge regarding their determinants, particularly for chronic loneliness. We aimed to determine the predictors of loneliness trajectories across early-to-mid adolescence and examine their association with later suicidality. METHODS: Data were collected from 3165 participants from the population-based Tokyo Teen Cohort. Participants reported their loneliness at 10, 12, 14, and 16 years. Loneliness trajectories were identified using latent class growth analysis. We examined the predictive role of bullying victimization and parental psychological distress at age 10 via a multinomial logistic regression. Sociodemographic and child-related factors (i.e., chronic health conditions and cognitive delay) were included as covariates. The association between the trajectories, self-harm, and suicidal ideation by age 16 was investigated using Poisson regression. RESULTS: Four trajectories were identified: “consistently low” (2448, 77.3%), “moderate–decreasing” (185, 5.8%), “moderate–increasing” (508, 16.1%), and “consistently high” (24, 0.8%). Taking “consistently low” as a reference, experiences of bullying victimization predicted all the remaining trajectories [adjusted relative risk ratio 1.64, 95% confidence interval (CI) 1.18–2.28 for “moderate–decreasing,” 1.88, 1.52–2.33 for “moderate–increasing,” and 4.57, 1.97–10.59 for “consistently high”]. Parental psychological distress predicted the “moderate–increasing” (1.84, 1.25–2.71) and “consistently high” (5.07, 1.78–14.42) trajectories. The “consistently high” trajectory showed the greatest risk for self-harm and suicidal ideation (adjusted relative risk ratio 6.01, 95% CI 4.40–8.22; 2.48, 1.82–3.37, respectively); however, the “moderate–increasing” and “moderate–decreasing” trajectories were also at increased risk (moderate–increasing: 2.71, 2.23–3.30 for self-harm, 1.93, 1.69–2.19 for suicidal ideation; moderate–decreasing: 2.49, 1.91–3.26 for self-harm, 1.59, 1.33–1.91 for suicidal ideation). CONCLUSIONS: Bullying victimization and parental psychological distress at age 10 were independent determinants of increased and chronic loneliness trajectories across early-to-mid adolescence. Compared with “consistently low,” all other loneliness trajectories were associated with an increased risk of adolescent suicidality. Interventions targeting adolescent loneliness should include approaches to mitigate bullying and parental psychological distress. These strategies may help prevent adolescent suicidality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13034-022-00545-z. |
format | Online Article Text |
id | pubmed-9769463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97694632022-12-22 Predictors of chronic loneliness during adolescence: a population-based cohort study Hosozawa, Mariko Cable, Noriko Yamasaki, Syudo Ando, Shuntaro Endo, Kaori Usami, Satoshi Nakanishi, Miharu Niimura, Junko Nakajima, Naomi Baba, Kaori Oikawa, Nao Stanyon, Daniel Suzuki, Kazuhiro Miyashita, Mitsuhiro Iso, Hiroyasu Hiraiwa-Hasegawa, Mariko Kasai, Kiyoto Nishida, Atsushi Child Adolesc Psychiatry Ment Health Research BACKGROUND: Adolescent loneliness is a growing public health issue owing to its adverse health impact. Although adolescent loneliness is common, its trajectories can show distinct patterns over time. However, there is limited knowledge regarding their determinants, particularly for chronic loneliness. We aimed to determine the predictors of loneliness trajectories across early-to-mid adolescence and examine their association with later suicidality. METHODS: Data were collected from 3165 participants from the population-based Tokyo Teen Cohort. Participants reported their loneliness at 10, 12, 14, and 16 years. Loneliness trajectories were identified using latent class growth analysis. We examined the predictive role of bullying victimization and parental psychological distress at age 10 via a multinomial logistic regression. Sociodemographic and child-related factors (i.e., chronic health conditions and cognitive delay) were included as covariates. The association between the trajectories, self-harm, and suicidal ideation by age 16 was investigated using Poisson regression. RESULTS: Four trajectories were identified: “consistently low” (2448, 77.3%), “moderate–decreasing” (185, 5.8%), “moderate–increasing” (508, 16.1%), and “consistently high” (24, 0.8%). Taking “consistently low” as a reference, experiences of bullying victimization predicted all the remaining trajectories [adjusted relative risk ratio 1.64, 95% confidence interval (CI) 1.18–2.28 for “moderate–decreasing,” 1.88, 1.52–2.33 for “moderate–increasing,” and 4.57, 1.97–10.59 for “consistently high”]. Parental psychological distress predicted the “moderate–increasing” (1.84, 1.25–2.71) and “consistently high” (5.07, 1.78–14.42) trajectories. The “consistently high” trajectory showed the greatest risk for self-harm and suicidal ideation (adjusted relative risk ratio 6.01, 95% CI 4.40–8.22; 2.48, 1.82–3.37, respectively); however, the “moderate–increasing” and “moderate–decreasing” trajectories were also at increased risk (moderate–increasing: 2.71, 2.23–3.30 for self-harm, 1.93, 1.69–2.19 for suicidal ideation; moderate–decreasing: 2.49, 1.91–3.26 for self-harm, 1.59, 1.33–1.91 for suicidal ideation). CONCLUSIONS: Bullying victimization and parental psychological distress at age 10 were independent determinants of increased and chronic loneliness trajectories across early-to-mid adolescence. Compared with “consistently low,” all other loneliness trajectories were associated with an increased risk of adolescent suicidality. Interventions targeting adolescent loneliness should include approaches to mitigate bullying and parental psychological distress. These strategies may help prevent adolescent suicidality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13034-022-00545-z. BioMed Central 2022-12-21 /pmc/articles/PMC9769463/ /pubmed/36544216 http://dx.doi.org/10.1186/s13034-022-00545-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Hosozawa, Mariko Cable, Noriko Yamasaki, Syudo Ando, Shuntaro Endo, Kaori Usami, Satoshi Nakanishi, Miharu Niimura, Junko Nakajima, Naomi Baba, Kaori Oikawa, Nao Stanyon, Daniel Suzuki, Kazuhiro Miyashita, Mitsuhiro Iso, Hiroyasu Hiraiwa-Hasegawa, Mariko Kasai, Kiyoto Nishida, Atsushi Predictors of chronic loneliness during adolescence: a population-based cohort study |
title | Predictors of chronic loneliness during adolescence: a population-based cohort study |
title_full | Predictors of chronic loneliness during adolescence: a population-based cohort study |
title_fullStr | Predictors of chronic loneliness during adolescence: a population-based cohort study |
title_full_unstemmed | Predictors of chronic loneliness during adolescence: a population-based cohort study |
title_short | Predictors of chronic loneliness during adolescence: a population-based cohort study |
title_sort | predictors of chronic loneliness during adolescence: a population-based cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9769463/ https://www.ncbi.nlm.nih.gov/pubmed/36544216 http://dx.doi.org/10.1186/s13034-022-00545-z |
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