1
|
Ciudad-Fernández V, Zarco-Alpuente A, Escrivá-Martínez T, Herrero R, Baños R. How adolescents lose control over social networks: A process-based approach to problematic social network use. Addict Behav 2024; 154:108003. [PMID: 38461744 DOI: 10.1016/j.addbeh.2024.108003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 02/20/2024] [Accepted: 02/27/2024] [Indexed: 03/12/2024]
Abstract
Social networks (SNs) are immensely popular, especially among teenagers, yet our understanding of problematic SNs remains limited. Understanding motivations and patterns of use is crucial given the current prevalence of problematic SNs use. Perarles et al. (2020) distinguish two behavioral control modes: Model-Free Control, where actions are characterized by actions driven by immediate gratification without reflective consideration for long-term consequences, and Model-Based Control, enabling planned and goal-directed actions. Both control modes can lead to problematic social network use. This study aims to delve into problematic SNs use and the underlying motives behind adolescents' participation in SNs, drawing upon the theoretical proposal by Perales et al. (2020). We conducted four focus groups with adolescents aged 13-17 (50 % female; Mage = 14.5, SD = 1.75), comprising two public school and two Catholic private school groups. Thematic analysis using Atlas.ti software revealed three themes. The first uncovers characteristics of problematic SNs use, including withdrawal, increased usage time, impaired control, behavioral salience and attentional capture and cognitive hijacking. The second spotlights motives, emphasizing emotional regulation, finding out what is going on, and social interaction. The third theme explores consequences such as compromised academic performance and physical harm. In conclusion, addressing both motives and problematic behaviors present a more effective approach to confronting SNs use challenges and fostering healthier online experiences for adolescents.
Collapse
Affiliation(s)
- Víctor Ciudad-Fernández
- Department of Personality, Evaluation and Psychological Treatments, Faculty of Psychology, University of Valencia, Valencia 46010, Spain; Polibienestar Research Institute, University of Valencia, Valencia 46022, Spain.
| | - Alfredo Zarco-Alpuente
- Department of Basic Psychology, Faculty of Psychology, University of Valencia, Valencia 46010, Spain.
| | - Tamara Escrivá-Martínez
- Department of Personality, Evaluation and Psychological Treatments, Faculty of Psychology, University of Valencia, Valencia 46010, Spain; Polibienestar Research Institute, University of Valencia, Valencia 46022, Spain; CIBERObn Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid 28029, Spain.
| | - Rocío Herrero
- Polibienestar Research Institute, University of Valencia, Valencia 46022, Spain; CIBERObn Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid 28029, Spain; Department of Psychology and Sociology, Faculty of Social and Human Sciences, University of Zaragoza, 44003 Teruel, Spain.
| | - Rosa Baños
- Department of Personality, Evaluation and Psychological Treatments, Faculty of Psychology, University of Valencia, Valencia 46010, Spain; Polibienestar Research Institute, University of Valencia, Valencia 46022, Spain; CIBERObn Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid 28029, Spain.
| |
Collapse
|
2
|
Shannon H, Bush K, Shvetz C, Paquin V, Morency J, Hellemans KGC, Guimond S. Longitudinal Problematic Social Media Use in Students and Its Association with Negative Mental Health Outcomes. Psychol Res Behav Manag 2024; 17:1551-1560. [PMID: 38617579 PMCID: PMC11011643 DOI: 10.2147/prbm.s450217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 03/18/2024] [Indexed: 04/16/2024] Open
Abstract
Purpose Social media has become increasingly part of our everyday lives and is influential in shaping the habits, sociability, and mental health of individuals, particularly among students. This study aimed to examine the relationship between changes over time in problematic social media use and mental health outcomes in students. We also investigated whether resilience and loneliness moderated the relationship between social media use and mental health. Patients and Methods A total of 103 participants completed a baseline virtual study visit, and 78 participants completed a follow-up visit, 4-weeks later. Participants completed a comprehensive set of questionnaires measuring symptoms of depression and anxiety, perceived stress, loneliness, and resilience. Results Our results showed that problematic social media use at baseline was significantly negatively correlated with resilience and positively correlated with all other mental health outcomes. Furthermore, increases in problematic social media use were significantly associated with increased depressive symptoms and loneliness between visits. Resilience significantly moderated the relationship between increased problematic social media use and heightened perceived stress. Poor mental health at baseline did not predict increased problematic social media use over time. Contrarily to problematic use, frequency of social media use was not significantly correlated with any mental health measures at baseline. Conclusion This study offers a longitudinal perspective, providing valuable insights into the potential protective role of resilience against the detrimental mental health effects seen with increases in problematic social media use.
Collapse
Affiliation(s)
- Holly Shannon
- Department of Neuroscience, Carleton University, Ottawa, ON, Canada
- The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Katie Bush
- The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
- Department of Psychology, Carleton University, Ottawa, ON, Canada
| | - Cecelia Shvetz
- The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Vincent Paquin
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Juliette Morency
- The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
- Département de Psychoéducation et Psychologie, Université du Québec en Outaouais, Gatineau, QC, Canada
| | | | - Synthia Guimond
- Department of Neuroscience, Carleton University, Ottawa, ON, Canada
- The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
- Department of Psychology, Carleton University, Ottawa, ON, Canada
- Département de Psychoéducation et Psychologie, Université du Québec en Outaouais, Gatineau, QC, Canada
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
| |
Collapse
|
3
|
Kong W, Li Y, Luo A, Xie W. Status and Influencing Factors of Social Media Addiction in Chinese Workers: Cross-Sectional Survey Study. J Med Internet Res 2024; 26:e48026. [PMID: 38446542 PMCID: PMC10959171 DOI: 10.2196/48026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 10/31/2023] [Accepted: 02/07/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Social media addiction (SMA) caused by excessive dependence on social media is becoming a global problem. At present, most of the SMA studies recruit college students as research participants, with very few studies involving workers and other age groups, especially in China. OBJECTIVE This study aims to investigate the current status of SMA among Chinese workers and analyze its influencing factors. METHODS From November 1, 2022, to January 30, 2023, we conducted an anonymous web-based questionnaire survey in mainland China, and a total of 5176 participants completed the questionnaire. The questionnaire included the Social Networking Service Addiction Scale, Maslach Burnout Inventory-General Survey scale, Mindful Attention Awareness Scale, as well as questionnaires regarding participants' social media use habits and demographic information. RESULTS Through strict screening, 3468 valid questionnaires were included in this study. The main findings of this study revealed the following: the average SMA score of workers was higher (mean 53.19, SD 12.04), and some of them (393/3468, 11.33%) relied heavily on social media; there were statistically significant differences in SMA scores among workers in different industries (F14,3453=3.98; P<.001); single workers (t3106=8.6; P<.001) and workers in a relationship (t2749=5.67; P<.001) had higher SMA scores than married workers, but some married workers (214/3468, 6.17%) were highly dependent on social media; the level of SMA among female workers was higher than that of male workers (t3466=3.65; P<.001), and the SMA score of workers negatively correlated with age (r=-0.22; P<.001) and positively correlated with education level (r=0.12; P<.001); the frequency of using social media for entertainment during work (r=0.33; P<.001) and the frequency of staying up late using social media (r=0.14; P<.001) were positively correlated with the level of SMA in workers; and the level of SMA in workers was significantly positively correlated with their level of burnout (r=0.35; P<.001), whereas it was significantly negatively correlated with their level of mindfulness (r=-0.55; P<.001). CONCLUSIONS The results of this study suggest that SMA among Chinese workers is relatively serious and that the SMA problem among workers requires more attention from society and academia. In particular, female workers, young workers, unmarried workers, highly educated workers, workers with bad social media habits, workers with high levels of job burnout, and workers with low levels of mindfulness were highly dependent on social media. In addition, occupation is an important influencing factor in SMA. Thus, the government should strengthen the supervision of social media companies. Medical institutions should provide health education on SMA and offer intervention programs for those addicted to social media. Workers should cultivate healthy habits while using social media.
Collapse
Affiliation(s)
- Weitao Kong
- The Second Xiangya Hospital, Central South University, Changsha, China
- School of Life Sciences, Central South University, Changsha, China
- Key Laboratory of Medical Information Research, Central South University, College of Hunan Province, Changsha, China
- Clinical Research Center For Cardiovascular Intelligent Healthcare In Hunan Province, Changsha, China
| | - Yuanyuan Li
- Department of Geratology, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Aijing Luo
- The Second Xiangya Hospital, Central South University, Changsha, China
- School of Life Sciences, Central South University, Changsha, China
- Key Laboratory of Medical Information Research, Central South University, College of Hunan Province, Changsha, China
- Clinical Research Center For Cardiovascular Intelligent Healthcare In Hunan Province, Changsha, China
| | - Wenzhao Xie
- School of Life Sciences, Central South University, Changsha, China
- Key Laboratory of Medical Information Research, Central South University, College of Hunan Province, Changsha, China
- Clinical Research Center For Cardiovascular Intelligent Healthcare In Hunan Province, Changsha, China
- The Third Xiangya Hospital, Central South University, Changsha, China
| |
Collapse
|
4
|
Peng P, Wang Q, Zhou Y, Hao Y, Chen S, Wu Q, Li M, Wang Y, Yang Q, Wang X, Liu Y, Ma Y, He L, Liu T, Zhang X. Inter-relationships of insomnia and psychiatric symptoms with suicidal ideation among patients with chronic schizophrenia: A network perspective. Prog Neuropsychopharmacol Biol Psychiatry 2024; 129:110899. [PMID: 38007211 DOI: 10.1016/j.pnpbp.2023.110899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 11/07/2023] [Accepted: 11/19/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Insomnia is common in patients with schizophrenia, which contributes to worsening psychiatric symptoms and suicidality. We aimed to assess the inter-relationships of insomnia and psychopathology with suicidal ideation (SI) among 1407 Chinese patients with chronic schizophrenia via the network approach. METHOD We used Positive and Negative Syndrome Scale, Insomnia Severity Index, and Beck Scale for Suicidal Ideation to assess psychiatric symptoms, insomnia, and SI, respectively. Lifetime suicidal attempts (SA) were collected. RESULTS (1) The incidence of insomnia, lifetime SI, lifetime SA, and current SI was 13.5% (n = 190), 22.8% (n = 321), 13.5% (n = 190), and 9.7% (n = 136), respectively. (2) Patients with insomnia had worse clinical symptoms and higher suicidal risk. (3) Daytime dysfunction, sleep-related distress, conceptual disorganization, delusions, anxiety, and poor rapport were the core symptoms, while late sleep onset and sleep dissatisfaction emerged as bridge symptoms connecting insomnia and psychopathology. (4) Depressive mood, hallucinations, poor impulse control, guilty feelings, insomnia-related impaired quality of life, and sleep dissatisfaction were directly associated with SI. CONCLUSION Our findings called for formal assessment of insomnia in patients with schizophrenia, which should cover both nocturnal and daytime insomnia symptoms. Targeted interventions for key symptoms may help reduce insomnia, psychiatric symptoms, and SI in patients with schizophrenia.
Collapse
Affiliation(s)
- Pu Peng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Qianjin Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Yanan Zhou
- Department of Psychiatry, Hunan Brain Hospital (Hunan Second People's Hospital), Changsha, China.
| | - Yuzhu Hao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Shubao Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Qiuxia Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Manyun Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Yunfei Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Qian Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Xin Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Yueheng Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Yuejiao Ma
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Li He
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Tieqiao Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| |
Collapse
|
5
|
Cui J, Wang Y, Liu D, Yang H. Depression and stress are associated with latent profiles of problematic social media use among college students. Front Psychiatry 2023; 14:1306152. [PMID: 38098636 PMCID: PMC10720731 DOI: 10.3389/fpsyt.2023.1306152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 11/16/2023] [Indexed: 12/17/2023] Open
Abstract
Background The previous literature has demonstrated that depression, anxiety, and stress are significant predictors of problematic social media use. However, the manifestation of problematic social media use varies, and the predictive relationship between depression, anxiety, and stress with different subgroups of problematic social media use remains unclear. The aim of this research was to evaluate latent subgroups of problematic social media use among college students and to investigate the impact of depression, anxiety, and stress on these latent subgroups. Methods A survey was carried out among college students in China using a cross-sectional approach. A total of 955 participants were included, with a mean age of 19.50 ± 1.22 years. Participants completed questionnaires containing the Bergen Social Media Addiction Scale (BSMAS) and the Depression, Anxiety, and Stress Scale-21 (DASS-21). The study employed latent profile analysis (LPA) to investigate latent subgroups of Chinese college students with problematic social media use, and a robust three-step approach was used to develop predictive regression mixed models of depression, anxiety, and stress on latent subgroups. Results Problematic social media use of Chinese college students can be categorized into four latent subgroups, namely, the high-risk group, the moderate-risk with pleasure group, the moderate-risk with compulsion group, and the low-risk group. The regression model showed that there was a significant difference between the high-risk group and the low-risk group on the stress scale. There was a significant difference between the moderate-risk with pleasure group and the moderate-risk with compulsion group on the depression scale. Conclusion Problematic social media use is heterogeneous, with depression and stress being potentially key factors influencing problematic social media use. Depression would make college students more likely to be moderate-risk with compulsion problematic social media users than moderate-risk with pleasure problematic social media users, and stress would make college students more likely to be high-risk problematic social media users than low-risk problematic social media users.
Collapse
Affiliation(s)
- Jingjing Cui
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
- Faculty of Teacher Education, Zunyi Normal University, Zunyi, China
| | - Yang Wang
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
| | - Dongyu Liu
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
| | - Haibo Yang
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China
- Tianjin Social Science Laboratory of Students’ Mental Development and Learning, Tianjin, China
| |
Collapse
|
6
|
Peng P, Chen Z, Ren S, Liu Y, He R, Liang Y, Tan Y, Tang J, Chen X, Liao Y. Determination of the cutoff point for Smartphone Application-Based Addiction Scale for adolescents: a latent profile analysis. BMC Psychiatry 2023; 23:675. [PMID: 37716941 PMCID: PMC10504767 DOI: 10.1186/s12888-023-05170-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 09/08/2023] [Indexed: 09/18/2023] Open
Abstract
BACKGROUNDS The Smartphone Application-Based Addiction Scale (SABAS) is a validated 6-item measurement tool for assessing problematic smartphone use (PSU). However, the absence of established cutoff points for SABAS hinders its utilities. This study aimed to determine the optimal cutoff point for SABAS through latent profile analysis (LPA) and receiver operating characteristic curve (ROC) analyses among 63, 205. Chinese adolescents. Additionally, the study explored whether PSU screening with SABAS could effectively capture problematic social media use (PSMU) and internet gaming disorder (IGD). METHOD We recruited 63,205. adolescents using cluster sampling. Validated questionnaires were used to assess PSMU, IGD, and mental health (depression, anxiety, sleep disturbances, well-being, resilience, and externalizing and internalizing problems). RESULTS LPA identified a 3-class model for PSU, including low-risk users (38.6%, n = 24,388.), middle-risk users (42.5%, n = 26,885.), and high-risk users (18.9%, n = 11,932.). High-risk users were regarded as "PSU cases" in ROC analysis, which demonstrated an optimal cut-off point of 23 (sensitivity: 98.1%, specificity: 96.8%). According to the cutoff point, 21.1% (n = 13,317.) were identified as PSU. PSU adolescents displayed higher PSMU, IGD, and worse mental health. PSU screening effectively captured IGD (sensitivity: 86.8%, specificity: 84.5%) and PSMU (sensitivity: 84.5%, specificity: 80.2%). CONCLUSION A potential ideal threshold for utilizing SABAS to identify PSU could be 23 (out of 36). Employing SABAS as a screening tool for PSU holds the potential to reliably pinpoint both IGD and PSMU.
Collapse
Affiliation(s)
- Pu Peng
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, 310016, Zhejiang, China
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Zhangming Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Silan Ren
- Department of Nursing, Sichuan Vocational College of Health and Rehabilitation, Zigong, Sichuan, China
| | - Yi Liu
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, 310016, Zhejiang, China
| | - Ruini He
- Department of Psychiatry, Zigong Mental Health Center, Zigong, Sichuan, China
| | - Yudiao Liang
- Department of Psychiatry, Zigong Mental Health Center, Zigong, Sichuan, China
| | - Youguo Tan
- Department of Psychiatry, Zigong Mental Health Center, Zigong, Sichuan, China
| | - Jinsong Tang
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, 310016, Zhejiang, China
| | - Xiaogang Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Yanhui Liao
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, 310016, Zhejiang, China.
| |
Collapse
|
7
|
Peng P, Wang Y, Li Z, Zhou Y, Wang J, Qu M, Liu T. A network analysis of the long-term quality of life and mental distress of COVID-19 survivors 1 year after hospital discharge. Front Public Health 2023; 11:1223429. [PMID: 37575111 PMCID: PMC10416228 DOI: 10.3389/fpubh.2023.1223429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 07/17/2023] [Indexed: 08/15/2023] Open
Abstract
Objectives COVID-19 survivors suffer from persistent mental distress and impaired quality of life (QOL) after recovery from the infection. However, the symptom-symptom interaction between these psychological variables remained unexplored. The present study aimed to determine the symptom network of mental distress (depression, anxiety, sleep disturbance, fatigue, and post-traumatic stress disorder) and their association with QOL among 535 COVID-19 survivors 1 year after hospital discharge. Methods 9-item Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, Chalder fatigue scale, Impact of Event Scale-Revised, Pittsburgh Sleep Quality Index, and 36-Item Short-Form Health Survey were applied to measure depression, anxiety, fatigue, PTSD, sleep disturbances, and QOL, respectively. Two networks were estimated using Gaussian graphical model. Network 1 consisted of mental symptoms to determine the central and bridge symptoms. Network 2 additionally included QOL to determine which mental symptoms were mostly related to QOL. Results 60% of the COVID-19 survivors experienced mental distress 1 year after hospital discharge. Uncontrollable and excessive worry, psychomotor symptoms, intrusion, and daytime dysfunction were the most central symptoms. Daytime dysfunction and fatigue (especially mental fatigue and loss of energy) served as the bridge symptoms across the mental distress network and exhibited the most substantial association with QOL. Conclusion Our study demonstrated several key symptoms that played a vital role in mental distress and QOL among COVID-19 survivors. Prompt screening and targeted interventions for these symptoms might hold great promise in preventing mental distress and improving QOL in COVID-19 survivors.
Collapse
Affiliation(s)
- Pu Peng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Yaqi Wang
- College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Zhuqing Li
- National Institute of Traditional Chinese Medicine Constitution and Preventive Treatment of Diseases, Beijing University of Chinese Medicine, Beijing, China
| | - Yanan Zhou
- Department of Psychiatry, Hunan Brain Hospital (Hunan Second People’s Hospital), Changsha, China
| | - Ji Wang
- National Institute of Traditional Chinese Medicine Constitution and Preventive Treatment of Diseases, Beijing University of Chinese Medicine, Beijing, China
| | - Miao Qu
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Tieqiao Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| |
Collapse
|