1
|
Liu S, Ren H, Li Y, Liu Y, Fu S, Han ZR. Gender Difference in the Onset of Adolescent Depressive Symptoms: A Cross-Lagged Panel Network Analysis. Res Child Adolesc Psychopathol 2024:10.1007/s10802-024-01235-4. [PMID: 39215790 DOI: 10.1007/s10802-024-01235-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2024] [Indexed: 09/04/2024]
Abstract
Depressive symptoms are prevalent in adolescents, especially girls, underscoring the need for early detection and targeted interventions. Identifying initial symptoms and their temporal associations is vital for such interventions. This study used cross-lagged panel network (CLPN) analysis to examine the central depressive symptoms and their interconnections within a national cohort derived from the China Family Panel Study (CFPS). The participants included 2524 adolescents (45.8% girls), with depressive symptoms assessed using the Epidemiological Studies Depression Scale (CES-D-8) in 2016 (Mage = 12.30) and 2018 (Mage = 14.25). The CLPN model showed that "loneliness" and "not getting going (fatigue)" at T1 were the strongest predictors of subsequent depressive symptoms at T2, after controlling for demographic variables and depressive symptoms at T1. Conversely, depressed mood and anhedonia at T2 were most likely to be influenced by other symptoms at T1. Gender-stratified analyses identified "loneliness" as the initial symptom in girls and "fatigue" for boys. Additionally, girls exhibited stronger reciprocal associations among depressive symptoms than boys. The findings suggest that addressing interpersonal loneliness is crucial for adolescent girls, whereas somatic fatigue should be a focus for adolescent boys, highlighting the need for gender-specific approaches in early intervention strategies. This research provides insights into the distinct gendered networks of depressive symptomatology in adolescents, informing tailored prevention and intervention efforts.
Collapse
Affiliation(s)
- Sihan Liu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, No.19 Xinjiekouwai St, Haidian District, Beijing, China
| | - Haining Ren
- T. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, USA
| | - Yijia Li
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, No.19 Xinjiekouwai St, Haidian District, Beijing, China
| | - Yang Liu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, No.19 Xinjiekouwai St, Haidian District, Beijing, China
| | - Sinan Fu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, No.19 Xinjiekouwai St, Haidian District, Beijing, China
| | - Zhuo Rachel Han
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, No.19 Xinjiekouwai St, Haidian District, Beijing, China.
| |
Collapse
|
2
|
Ma Z, Fan Y, Yu Z, Wu W, Zhang X, Li H, Zhao S, Li Y, Li Y, Wang D, Fan F. Cross-Lagged Panel Networks of Sleep Inertia Across Its Distinct Change Patterns Among Intern Nurses with Shift Work in China. Nat Sci Sleep 2024; 16:1201-1212. [PMID: 39131164 PMCID: PMC11316483 DOI: 10.2147/nss.s467433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 07/27/2024] [Indexed: 08/13/2024] Open
Abstract
Purpose Although experimental psychopathology using PET, EEG, and fMRI is at the forefront of understanding the underlying mechanisms of sleep inertia, many questions concerning causality remain unanswerable due to ethical constraints and the use of small and heterogeneous samples in experimental methods. There is a pressing need for a novel perspective in a large and relatively homogeneous population to fully capture and elucidate longitudinal processes and dynamic causality that culminate in episodes of sleep inertia over time. Therefore, this study aimed to reveal the causal relationships between symptoms of sleep inertia across its distinct patterns. Patients and Methods A total of 1636 intern nurses participated in the first survey (94.1% validity rate), then 1277 intern nurses were followed up (82.9% tracing rate). Symptoms of sleep inertia were self-reported using the Sleep Inertia Questionnaire. The cross-lagged panel network models were used to examine unique longitudinal relationships between symptoms of sleep inertia across distinct trajectories. Results Four distinct trajectories of sleep inertia were established. Additionally, we found differences in those symptoms with the highest influence on other symptoms at the subsequent point across the networks of four trajectories, particularly, "Difficulty in concentrating" in the persistent-high group and "Feeling tense" in the deteriorating groups. Conclusion The current study highlights changes in sleep inertia based on the long-term course over time. Notably, symptoms of "Difficulty in concentrating" and "Feeling tense" are imperative to address these specific symptoms within subpopulations.
Collapse
Affiliation(s)
- Zijuan Ma
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Yunge Fan
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Zhijun Yu
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Wenxuan Wu
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Xiangting Zhang
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Huolian Li
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Shaochen Zhao
- Research Center for Guangdong-Hong Kong-Macao Policing Model Innovation, China People’s Police University, Guangzhou, People’s Republic of China
| | - Yang Li
- Department of Educational Psychology, Faculty of Education, The Chinese University of Hong Kong, Hong Kong, People’s Republic of China
| | - Yuanyuan Li
- Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, People’s Republic of China
| | - Dongfang Wang
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Fang Fan
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| |
Collapse
|
3
|
Ye Y, Li Y, Wu X, Zhou X. Longitudinal Associations Between Depression, Suicidal Ideation, and Lack of Certainty in Control among Adolescents: Disaggregation of Within-Person and Between-Person Effects. J Adolesc Health 2024; 75:288-297. [PMID: 38739050 DOI: 10.1016/j.jadohealth.2024.03.008] [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: 09/19/2023] [Revised: 03/12/2024] [Accepted: 03/19/2024] [Indexed: 05/14/2024]
Abstract
PURPOSE Depression and suicidal ideation (SI) are common in adolescents. However, the relation between the two is unclear. According to the cognitive model of suicidal behavior and learned helplessness theory, lack of certainty in control (LCC), referring to individuals' deficiency in predictability, certainty, and control of life, may be an important factor linking the two. Thus, the current study aimed to investigate the temporal relation between depression and SI in adolescents and to assess the mediating role of LCC in this relation. METHODS A three-wave survey was carried out at intervals of 1 and 1.5 years among 516 adolescents at several middle schools in Sichuan Province, China. The random-intercept cross-lagged panel model was used to examine the temporal relations between depression, SI, and LCC among adolescents, which can effectively distinguish between-person and within-person differences. RESULTS The results revealed that depression, SI, and LCC had positive intercorrelations at the between-person level. At the within-person level, early depression predicted subsequent depression and SI via LCC among adolescents. Additionally, early LCC promoted later SI through depression. DISCUSSION These findings highlight the mediating role of LCC, clarify the temporal relation between depression and SI, and provide theoretical support for interventions to address depression and suicide.
Collapse
Affiliation(s)
- Yingying Ye
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
| | - Yifan Li
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
| | - Xinchun Wu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Xiao Zhou
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
| |
Collapse
|
4
|
Gong X, Bi T, Zhang L, Zhou J. Maternal Depressive Symptoms and Offspring Internalizing Problems: A Cross-Lagged Panel Network Analysis in Late Childhood and Early Adolescence. Res Child Adolesc Psychopathol 2024:10.1007/s10802-024-01224-7. [PMID: 38904741 DOI: 10.1007/s10802-024-01224-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/06/2024] [Indexed: 06/22/2024]
Abstract
The present study investigated the relations between maternal depressive symptoms and internalizing problems in offspring during late childhood and early adolescence, examining sex differences using symptom network analysis. A total of 885 Chinese youths in late childhood (n = 497, 38.6% girls; age = 9.58 years, SD = 0.24) and early adolescence (n = 388, 48.5% girls; age = 11.30 years, SD = 0.24) and their mothers (Mage = 37.34 years, SD = 5.42) were recruited. Cross-lagged panel network (CLPN) analysis was used to explore bridge symptoms (i.e., symptoms connecting two or more mental disorders) and identify transmission pathways between maternal depressive symptoms and offspring's internalizing problems at these two developmental stages. The CLPN results revealed that in late childhood, the bridge connections in the network model were boys feeling worried to mothers feeling distractible, and girls feeling worried to mothers feeling powerless. In early adolescence, the bridge connections were boys experiencing depressed mood to mothers feeling powerless, and mothers feeling bad to girls experiencing depressed mood. These findings highlight the network-level relations between maternal depressive symptoms and offspring internalizing problems. They provide insights into the developmental differences and similarities in symptoms during these periods and suggest ways to break the vicious cycle of psychopathology between mothers and their children.
Collapse
Affiliation(s)
- Xue Gong
- Department of Psychology, Normal College, Qingdao University, Qingdao, China.
| | - Tiantian Bi
- Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Beijing, China
| | - Lulu Zhang
- School of Psychology, University of Glasgow, Glasgow, UK
| | - Jianhua Zhou
- School of Psychology, Northwest Normal University, Lanzhou, People's Republic of China.
| |
Collapse
|
5
|
Yang X, Fang Y, Wang Y, Liu S, Cai J, Li H, Chen Z. Multidimensional stressors and depressive and anxiety symptoms in adolescents: A network analysis through simulations. J Affect Disord 2024; 347:364-374. [PMID: 38007108 DOI: 10.1016/j.jad.2023.11.057] [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: 07/09/2023] [Revised: 11/14/2023] [Accepted: 11/17/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Existing research has established associations between various stressors and adolescent mental health, primarily from a variable-level perspective. However, a symptom-level understanding about which stressors and symptoms might play a important role is scarce. METHODS The sample consisted of 15,570 adolescents aged 10 to 19. Participants completed questionnaires which assessed multidimensional stressors, depressive symptoms, anxiety symptoms, and demographic information. Network analysis was conducted to explore the relationships between stressors and depressive and anxiety symptoms. Additionally, to identify effective targets for the treatment and prevention of adolescent mental health issues, symptom-specific intervention simulations were performed on the network to investigate changes in symptom values in response to the alleviation and aggravation of specific stressors and symptoms. RESULTS Findings revealed that academic stressors exhibited stronger associations with anxiety symptoms than other stressors, particularly nervousness. Family relationships were more closely linked to depressive symptoms than other stressors, particularly suicidal ideation. Academic stressors emerged as an effective intervention target, and uncontrollable worry as an important prevention target. With the exception of academic stressors, simulating aggravation interventions on symptoms resulted in more changes in overall symptom activation than alleviation interventions. LIMITATIONS A cross-sectional design did not uncover network changes over time and the sample was non-clinical. CONCLUSIONS This study highlights the importance of addressing academic stressors to alleviate adolescents' depressive and anxiety symptoms and reveals that uncontrollable worry is a key prevention target. The findings are helpful for clinicians and educators to develop effective strategies to protect adolescents' mental health.
Collapse
Affiliation(s)
- Xiaoman Yang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Yuan Fang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Yaxin Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Shaoran Liu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jimin Cai
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Haoyu Li
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Zhiyan Chen
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
| |
Collapse
|
6
|
Davis M, Jones JD, Gallop R, So A, Dysart G, Young JF. Adolescent Depression Symptom Trajectories Detected Via Universal Screening in Pediatric Primary Care. Res Child Adolesc Psychopathol 2024; 52:183-194. [PMID: 37642920 DOI: 10.1007/s10802-023-01116-2] [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] [Accepted: 08/21/2023] [Indexed: 08/31/2023]
Abstract
Unique trajectories of adolescent depression symptoms have been identified, yet less is known about whether such patterns translate to real-world clinical settings. Because annual adolescent depression screening is becoming more prevalent in primary care, we examined whether longitudinal patterns of depression symptoms documented in the developmental psychopathology literature can also be detected via routine screening in primary care and explored how membership in the identified trajectories varied based on concurrent suicide risk and sociodemographic factors. A total of 1,359 adolescents aged 12-16 years old at the first timepoint were included in the current analyses. These adolescents completed three depression screeners during their well-visits in a large pediatric primary care network between November 15, 2017 and February 1, 2020. Retrospective electronic health record data were extracted, including sociodemographic variables and depression screening results. Dynamic functional time series clustering results indicated the optimal number of clusters was five. The five depression symptom trajectories were: (1) A-Shaped (i.e., relatively low depression symptoms at Time 1, a substantial increase in symptoms at Time 2, and a return to low symptoms at Time 3), (2) Increasing, (3) Low-Stable, (4) High-Decreasing, and (5) Low-Decreasing. Cluster differences in suicide risk largely mapped onto depression symptom levels at each assessment. We found cluster differences based on practice location, insurance type, and adolescent race. The symptom trajectories observed in this study resemble those found in the developmental psychopathology literature, though some key differences were noted. Findings can inform future research and symptom monitoring in primary care.
Collapse
Affiliation(s)
- Molly Davis
- Department of Child and Adolescent Psychiatry and Behavioral Sciences and PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA, USA.
| | - Jason D Jones
- Department of Child and Adolescent Psychiatry and Behavioral Sciences and PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Robert Gallop
- Department of Mathematics, West Chester University, West Chester, PA, USA
| | - Amy So
- Department of Child and Adolescent Psychiatry and Behavioral Sciences and PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Psychology Department at Montclair State University, Montclair, NJ, USA
| | - Gillian Dysart
- Department of Child and Adolescent Psychiatry and Behavioral Sciences and PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jami F Young
- Department of Child and Adolescent Psychiatry and Behavioral Sciences and PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| |
Collapse
|
7
|
Tao Y, Zou X, Tang Q, Hou W, Wang S, Ma Z, Liu G, Liu X. Mapping network connection and direction between anxiety and depression symptoms across the early, middle, and late adolescents: Insights from a large Chinese sample. J Psychiatr Res 2024; 169:174-183. [PMID: 38039692 DOI: 10.1016/j.jpsychires.2023.11.035] [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: 09/24/2022] [Revised: 08/18/2023] [Accepted: 11/20/2023] [Indexed: 12/03/2023]
Abstract
Depression and anxiety are two mental disorders prevailing among adolescents. However, issues regarding the trajectory of depression and anxiety are still controversial on both the disease and symptom dimensions. The novel method of network analysis was used to provide insight into the symptom dimension. 20,544 adolescents (female = 10,743, 52.3%) aged between 14 and 24 years (age mean ± sd = 16.9 ± 2.94) were divided into three subgroups according to age so that the course of depression and anxiety could be traced. Network analysis and the Bayesian network model were used in the current study. The results indicated that uncontrollable worry - excessive worry was the most significant edge for all adolescents, whereas concentration - motor had the highest edge weights for early adolescents, and anhedonia - energy was the most critical pairwise symptom for middle and late adolescents. Irritability can bridge anxiety and depression in the early and middle stages of adolescence, while suicide plays a bridging role in the early and late stages of adolescence. Restlessness and guilt can bridge anxiety and depression in middle- and late-stage adolescents, and feeling afraid plays a unique role in middle-stage adolescents. Except for sad mood, which can trigger middle adolescents' anxiety and depression, the other three subgroups were mainly triggered by nervousness. In addition, all results in our current study were shown to be stable and accurate. In treatment, targeting central and triggering symptoms at different stages of adolescence may be critical to alleviating the comorbidity of anxiety and depression.
Collapse
Affiliation(s)
- Yanqiang Tao
- Faculty of Psychology, Beijing Normal University, Beijing, 100875, China; Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, 100875, China.
| | - Xinyuan Zou
- Faculty of Psychology, Beijing Normal University, Beijing, 100875, China; Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, 100875, China.
| | - Qihui Tang
- Faculty of Psychology, Beijing Normal University, Beijing, 100875, China; Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, 100875, China.
| | - Wenxin Hou
- Faculty of Psychology, Beijing Normal University, Beijing, 100875, China; Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, 100875, China.
| | - Shujian Wang
- Faculty of Psychology, Beijing Normal University, Beijing, 100875, China; Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, 100875, China.
| | - Zijuan Ma
- School of Psychology, South China Normal University, Guangzhou, 510631, China.
| | - Gang Liu
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Xiangping Liu
- Faculty of Psychology, Beijing Normal University, Beijing, 100875, China; Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, 100875, China.
| |
Collapse
|
8
|
Horváth Z, Paksi B, Fernández-Aranda F, Jiménez-Murcia S, Demetrovics Z. The Predictive Role of Tolerance and Health Problems in Problem Gambling: A Cross-Sectional and Cross-Lagged Network Analyses. J Gambl Stud 2023; 39:1781-1798. [PMID: 36738377 PMCID: PMC9898861 DOI: 10.1007/s10899-023-10191-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2023] [Indexed: 02/05/2023]
Abstract
The existing symptomatic networks of problem gambling are all based on cross-sectional data. Thus, there is a need to explore longitudinal symptom networks of problem gambling. Moreover, the replicability of cross-sectional symptom networks can be limited; therefore, further research should assess the convergence between cross-sectional networks of problem gambling symptoms. The present study aimed (i) to examine cross-sectional networks of problem gambling symptoms and evaluate their replicability and (ii) to examine a longitudinal cross-lagged network of problem gambling symptoms. The study included a representative sample of young adult gamblers (born between 1984 and 2000) from the first two waves of the Budapest Longitudinal Study (original sample: N = 2777; final sample: N = 335). The Problem Gambling Severity Index was used to assess symptoms of problem gambling. Cross-sectional symptom networks showed differences in the centrality of nodes. Correlations between the two cross-sectional networks were low in the presence vs. absence of edges, rank order of edge weights, and centrality estimates. However, network invariance tests indicated non-significant differences between them. The cross-lagged network revealed that the symptoms of tolerance and health problems could predict the subsequent presence of multiple problem gambling symptoms. Overall, limited evidence demonstrated the replicability of cross-sectional symptom networks of problem gambling. Future research needs to explore the utility of cross-sectional networks of problem gambling and assess more precisely causal relationships between problem gambling symptoms by distinguishing within- and between-subject effects.
Collapse
Affiliation(s)
- Zsolt Horváth
- Institute of Psychology, ELTE Eötvös Loránd University, Izabella Utca 46, Budapest, 1064, Hungary.
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar.
| | - Borbála Paksi
- Institute of Education, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Fernando Fernández-Aranda
- Department of Psychiatry, University Hospital of Bellvitge, Barcelona, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III., Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Susana Jiménez-Murcia
- Department of Psychiatry, University Hospital of Bellvitge, Barcelona, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III., Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Zsolt Demetrovics
- Institute of Psychology, ELTE Eötvös Loránd University, Izabella Utca 46, Budapest, 1064, Hungary
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar
| |
Collapse
|
9
|
Li G, Li Y, Lam AIF, Tang W, Seedat S, Barbui C, Papola D, Panter-Brick C, Waerden JVD, Bryant R, Mittendorfer-Rutz E, Gémes K, Purba FD, Setyowibowo H, Pinucci I, Palantza C, Acarturk C, Kurt G, Tarsitani L, Morina N, Burchert S, Patanè M, Quero S, Campos D, Huizink AC, Fuhr DC, Spiller T, Sijbrandij M, Hall BJ. Understanding the protective effect of social support on depression symptomatology from a longitudinal network perspective. BMJ MENTAL HEALTH 2023; 26:e300802. [PMID: 38030405 PMCID: PMC10689368 DOI: 10.1136/bmjment-2023-300802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 11/08/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Higher social support protects people from developing mental disorders. Limited evidence is available on the mechanism through which social support plays this protective role. OBJECTIVE To investigate the stress-buffering process of social support on depressive symptoms using a novel longitudinal dynamic symptom network approach. METHODS A total of 4242 adult participants who completed the first two waves (from May to October 2020) of the International Covid Mental Health Survey were included in the study. Cross-lagged panel network modelling was used to estimate a longitudinal network of self-reported social support, loneliness and depressive symptoms. Standardised regression coefficients from regularised cross-lagged regressions were estimated as edge weights of the network. FINDINGS The results support a unidirectional protective effect of social support on key depressive symptoms, partly mediated through loneliness: A higher number of close confidants and accessible practical help was associated with decreased anhedonia (weight=-0.033) and negative self-appraisal symptoms (weight=-0.038). Support from others was also negatively associated with loneliness, which in turn associated with decreased depressed mood (weight=0.086) and negative self-appraisal (weight=0.077). We identified a greater number of direct relationships from social support to depressive symptoms among men compared with women. Also, the edge weights from social support to depression were generally stronger in the men's network. CONCLUSIONS Reductions in negative self-appraisal might function as a bridge between social support and other depressive symptoms, and, thus, it may have amplified the protective effect of social support. Men appear to benefit more from social support than women. CLINICAL IMPLICATIONS Building community-based support networks to deliver practical support, and loneliness reduction components are critical for depression prevention interventions after stressful experiences.
Collapse
Affiliation(s)
- Gen Li
- Center for Global Health Equity, New York University Shanghai, Shanghai, China
| | - Yifan Li
- Center for Global Health Equity, New York University Shanghai, Shanghai, China
| | - Agnes Iok Fong Lam
- Centre for Macau Studies, University of Macau, Macau, China
- Department of Communications, University of Macau, Macao, China
| | - Weiming Tang
- Center for Global Health Equity, New York University Shanghai, Shanghai, China
- University of North Carolina Project-China, Guangzhou, China
| | - Soraya Seedat
- SAMRC Genomics of Brain Disorders Research Unit, Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Corrado Barbui
- Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, UK
| | - Davide Papola
- WHO Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | | | - Judith van der Waerden
- Institut Pierre Louis d'Épidémiologie et de Santé Publique (iPLesp), Sorbonne Université and INSERM, Paris, Île-de- France, France
| | - Richard Bryant
- School of Psychology, UNSW, Sydney, New South Wales, Australia
| | - Ellenor Mittendorfer-Rutz
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Katalin Gémes
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Fredrick D Purba
- Faculty of Psychology, Universitas Padjadjaran, Bandung, Indonesia
| | - Hari Setyowibowo
- Faculty of Psychology, Universitas Padjadjaran, Bandung, Indonesia
| | - Irene Pinucci
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Christina Palantza
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Ceren Acarturk
- Department of Psychology, Koc University, Istanbul, Turkey
| | - Gülşah Kurt
- School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Lorenzo Tarsitani
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Naser Morina
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Sebastian Burchert
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Martina Patanè
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health research institute, and WHO Collaborating Centre for Research and Dissemination of Psychological Interventions, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Soledad Quero
- Department of Basic, Clinical Psychology and Psychobiology, Universitat Jaume I, Castello de la Plana, Castellón, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
| | - Daniel Campos
- Department of Psychology and Sociology, University of Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain
| | - Anja C Huizink
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health research institute, and WHO Collaborating Centre for Research and Dissemination of Psychological Interventions, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Daniela C Fuhr
- Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Tobias Spiller
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Marit Sijbrandij
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health research institute, and WHO Collaborating Centre for Research and Dissemination of Psychological Interventions, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Brian J Hall
- Center for Global Health Equity, New York University Shanghai, Shanghai, China
| |
Collapse
|
10
|
Li Y, Kang Y, Zhu L, Yuan M, Li Y, Xu B, Zhang X, Wang G, Su P. Longitudinal correlates of bullying victimization among Chinese early adolescents: A cross-lagged panel network analysis. J Affect Disord 2023; 339:203-210. [PMID: 37437736 DOI: 10.1016/j.jad.2023.07.006] [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: 04/23/2023] [Revised: 06/04/2023] [Accepted: 07/08/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND Bullying victimization is a major public health issue often faced by adolescents. This highlights the need to identify the relevant risk factors to inform intervention. Based on the ecological systems theory and applied cross-lagged panel network analysis, this study explored the longitudinal correlates of bullying victimization among Chinese early adolescents. METHODS A total of 1686 early adolescents (60.4 % were boys) from the Chinese Early Adolescent Cohort study were included in this study. Bullying victimization and its associated factors were assessed using the self-report questionnaires, which was administered from 2019 (T1), 2021 (T2), and 2022 (T3). The longitudinal relationships between bullying victimization and its correlates were examined using a cross-lagged panel network analysis. RESULTS 27.0 %, 14.9 %, and 13.2 % of the participants reported being bullied by peers at T1, T2, and T3, respectively. The temporal network suggested that individual-level (sex, depression, and anxiety), family-level (child abuse), school-level (satisfaction with classmates), and social-level (satisfaction with society) factors were associated with bullying victimization. The node with the greatest centrality strength was anxiety. Notably, relationship with teachers and classmates were the unique nodes in the T2 → T3 replication network. LIMITATIONS The sample is unrepresentative, as it is from only one middle school. CONCLUSIONS The findings provide important insights into bullying victimization prevention and intervention among Chinese early adolescents: 1) highlighting the importance of joint interventions across multiple departments; 2) focusing on the most central factors of bullying victimization; and 3) considering the effect of time when exploring the correlates of bullying victimization.
Collapse
Affiliation(s)
- Yuan Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei 230032, Anhui, China
| | - Yuqi Kang
- Ningxia Rehabilitation Medical Center, People's Hospital of Ningxia Hui Autonomous Region, No.301 Zhengyuan North Street, Yinchuan 750002, Ningxia, China
| | - Li Zhu
- Affiliated Psychological Hospital of Anhui Medical University, Hefei Fourth People's Hospital, No.316 Huangshan Road, Hefei 230032, Anhui, China
| | - Mengyuan Yuan
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei 230032, Anhui, China
| | - Yonghan Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei 230032, Anhui, China
| | - Baoyu Xu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei 230032, Anhui, China
| | - Xueying Zhang
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Gengfu Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, No 81 Meishan Road, Hefei, 230032, Anhui, China.
| | - Puyu Su
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No.81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, No 81 Meishan Road, Hefei, 230032, Anhui, China.
| |
Collapse
|
11
|
Eli B, Zhou Y, Chen Y, Huang X, Liu Z. Symptom Structure of Depression in Older Adults on the Qinghai-Tibet Plateau: A Network Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13810. [PMID: 36360690 PMCID: PMC9659106 DOI: 10.3390/ijerph192113810] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/18/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
Previous studies have confirmed that depression among residents in high-altitude areas is more severe, and that depression may be more persistent and disabling in older adults. This study aims to identify the symptom structure of depression among older adults on the Qinghai-Tibet Plateau (the highest plateau in the world) from a network perspective. This cross-sectional study enrolled 507 older adults (ages 60-80 years old) from the Yushu Prefecture, which is on the Qinghai-Tibet Plateau, China. Depressive symptoms were self-reported using the shortened Center for Epidemiological Studies-Depression Scale (CES-D-10). Then, a Gaussian graphical model (GGM) of depression was developed. Poor sleep, fear, and hopelessness about the future exhibited high centrality in the network. The strongest edge connections emerged between unhappiness and hopelessness about the future, followed by hopelessness about the future and fear; hopelessness about the future and poor sleep; fear and unhappiness; and then poor sleep and unhappiness in the network. The findings of this current study add to the small body of literature on the network structure and complex relationships between depressive symptoms in older adults in high-altitude areas.
Collapse
Affiliation(s)
- Buzohre Eli
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yueyue Zhou
- Department of Psychology, Henan University, Kaifeng 475004, China
| | - Yaru Chen
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Huang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhengkui Liu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|