18 results on '"Chi, Xinli"'
Search Results
2. Latent profiles of multi-dimensionality of self-compassion predict youth psychological adjustment outcomes during the COVID-19: A longitudinal mixture regression analysis
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Chi, Xinli, Huang, Liuyue, Zhang, Junjie, Wang, Enna, and Ren, Yizhen
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- 2024
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3. Vicious circle of family dysfunction and adolescent internet addiction: Do only child and non-only child exhibit differences?
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Wang, Enna, Zhang, Junjie, Dong, Yanyan, Xiao, Jialin, Qu, Diyang, Shan, Hao, and Chi, Xinli
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- 2024
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4. Network analysis of relationships between depressive symptoms and stressful life events in Chinese vocational school students
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Wu, Chengrui, He, Yunhan, Liang, Kaixin, Chen, Shiyun, Chi, Xinli, and LeMoult, Joelle
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- 2024
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5. Trajectories of complex posttraumatic stress symptoms among Chinese college students with childhood adversities: The role of self-compassion
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Huang, Liuyue, Chi, Peilian, Wang, Enna, Bu, He, and Chi, Xinli
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- 2024
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6. Identifying patterns of multidimensional self-compassion in Chinese young adults: implications for longitudinal mental health outcomes during the pandemic
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Ren, Yizhen, primary, Huang, Liuyue, additional, Zhang, Ying, additional, Zeng, Di, additional, and Chi, Xinli, additional
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- 2024
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7. Internet addiction and depressive symptoms in adolescents: joint trajectories and predictors
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Zhang, Junjie, primary, Wang, Enna, additional, Zhang, Long, additional, and Chi, Xinli, additional
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- 2024
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8. Changes in the Networks of Complex Posttraumatic Stress Disorder Symptoms Among Chinese College Students With Childhood Trauma.
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Huang, Liuyue, Chi, Peilian, Zhao, Yue, Ren, Yizhen, Liang, Kaixin, and Chi, Xinli
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- 2024
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9. Global and risk-group stratified well-being and mental health during the COVID-19 pandemic in adults: Results from the international COH-FIT Study
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Solmi, Marco, primary, Thompson, Trevor, additional, Estradé, Andrés, additional, Agorastos, Agorastos, additional, Radua, Joaquim, additional, Cortese, Samuele, additional, Dragioti, Elena, additional, Leisch, Friedrich, additional, Vancampfort, Davy, additional, Thygesen, Lau Caspar, additional, Aschauer, Harald, additional, Schlögelhofer, Monika, additional, Aschauer, Elena, additional, Schneeberger, Andres, additional, Huber, Christian G., additional, Hasler, Gregor, additional, Conus, Philippe, additional, Cuénod, Kim Q. Do, additional, von Känel, Roland, additional, Arrondo, Gonzalo, additional, Fusar-Poli, Paolo, additional, Gorwood, Philip, additional, Llorca, Pierre-Michel, additional, Krebs, Marie-Odile, additional, Scanferla, Elisabetta, additional, Kishimoto, Taishiro, additional, Rabbani, Golam, additional, Skonieczna-Żydecka, Karolina, additional, Brambilla, Paolo, additional, Favaro, Angela, additional, Takamiya, Akihiro, additional, Zoccante, Leonardo, additional, Colizzi, Marco, additional, Bourgin, Julie, additional, Kamiński, Karol, additional, Moghadasin, Maryam, additional, Seedat, Soraya, additional, Matthews, Evan, additional, Wells, John, additional, Vassilopoulou, Emilia, additional, Gadelha, Ary, additional, Su, Kuan-Pin, additional, Kwon, Jun Soo, additional, Kim, Minah, additional, Lee, Tae Young, additional, Papsuev, Oleg, additional, Manková, Denisa, additional, Boscutti, Andrea, additional, Gerunda, Cristiano, additional, Saccon, Diego, additional, Righi, Elena, additional, Monaco, Francesco, additional, Croatto, Giovanni, additional, Cereda, Guido, additional, Demurtas, Jacopo, additional, Brondino, Natascia, additional, Veronese, Nicola, additional, Enrico, Paolo, additional, Politi, Pierluigi, additional, Ciappolino, Valentina, additional, Pfennig, Andrea, additional, Bechdolf, Andreas, additional, Meyer-Lindenberg, Andreas, additional, Kahl, Kai G., additional, Domschke, Katharina, additional, Bauer, Michael, additional, Koutsouleris, Nikolaos, additional, Winter, Sibylle, additional, Borgwardt, Stefan, additional, Bitter, Istvan, additional, Balazs, Judit, additional, Czobor, Pál, additional, Unoka, Zsolt, additional, Mavridis, Dimitris, additional, Tsamakis, Konstantinos, additional, Bozikas, Vasilios P., additional, Tunvirachaisakul, Chavit, additional, Maes, Michael, additional, Rungnirundorn, Teerayuth, additional, Supasitthumrong, Thitiporn, additional, Haque, Ariful, additional, Brunoni, Andre R., additional, Costardi, Carlos Gustavo, additional, Schuch, Felipe Barreto, additional, Polanczyk, Guilherme, additional, Luiz, Jhoanne Merlyn, additional, Fonseca, Lais, additional, Aparicio, Luana V., additional, Valvassori, Samira S., additional, Nordentoft, Merete, additional, Vendsborg, Per, additional, Hoffmann, Sofie Have, additional, Sehli, Jihed, additional, Sartorius, Norman, additional, Heuss, Sabina, additional, Guinart, Daniel, additional, Hamilton, Jane, additional, Kane, John, additional, Rubio, Jose, additional, Sand, Michael, additional, Koyanagi, Ai, additional, Solanes, Aleix, additional, Andreu-Bernabeu, Alvaro, additional, Cáceres, Antonia San José, additional, Arango, Celso, additional, Díaz-Caneja, Covadonga M., additional, Hidalgo-Mazzei, Diego, additional, Vieta, Eduard, additional, Gonzalez-Peñas, Javier, additional, Fortea, Lydia, additional, Parellada, Mara, additional, Fullana, Miquel A., additional, Verdolini, Norma, additional, Andrlíková, Eva, additional, Janků, Karolina, additional, Millan, Mark J., additional, Honciuc, Mihaela, additional, Moniuszko-Malinowska, Anna, additional, Łoniewski, Igor, additional, Samochowiec, Jerzy, additional, Kiszkiel, Łukasz, additional, Marlicz, Maria, additional, Sowa, Paweł, additional, Marlicz, Wojciech, additional, Spies, Georgina, additional, Stubbs, Brendon, additional, Firth, Joseph, additional, Sullivan, Sarah, additional, Darcin, Asli Enez, additional, Aksu, Hatice, additional, Dilbaz, Nesrin, additional, Noyan, Onur, additional, Kitazawa, Momoko, additional, Kurokawa, Shunya, additional, Tazawa, Yuki, additional, Anselmi, Alejandro, additional, Cracco, Cecilia, additional, Machado, Ana Inés, additional, Estrade, Natalia, additional, De Leo, Diego, additional, Curtis, Jackie, additional, Berk, Michael, additional, Carvalho, Andre F., additional, Ward, Philip, additional, Teasdale, Scott, additional, Rosenbaum, Simon, additional, Marx, Wolfgang, additional, Horodnic, Adrian Vasile, additional, Oprea, Liviu, additional, Alexinschi, Ovidiu, additional, Ifteni, Petru, additional, Turliuc, Serban, additional, Ciuhodaru, Tudor, additional, Bolos, Alexandra, additional, Matei, Valentin, additional, Nieman, Dorien H., additional, Sommer, Iris, additional, van Os, Jim, additional, van Amelsvoort, Therese, additional, Sun, Ching-Fang, additional, Guu, Ta-wei, additional, Jiao, Can, additional, Zhang, Jieting, additional, Fan, Jialin, additional, Zou, Liye, additional, Yu, Xin, additional, Chi, Xinli, additional, de Timary, Philippe, additional, van Winkel, Ruud, additional, Ng, Bernardo, additional, Pena, Edilberto, additional, Arellano, Ramon, additional, Roman, Raquel, additional, Sanchez, Thelma, additional, Movina, Larisa, additional, Morgado, Pedro, additional, Brissos, Sofia, additional, Aizberg, Oleg, additional, Mosina, Anna, additional, Krinitski, Damir, additional, Mugisha, James, additional, Sadeghi-Bahmani, Dena, additional, Sheybani, Farshad, additional, Sadeghi, Masoud, additional, Hadi, Samira, additional, Brand, Serge, additional, Errazuriz, Antonia, additional, Crossley, Nicolas, additional, Ristic, Dragana Ignjatovic, additional, López-Jaramillo, Carlos, additional, Efthymiou, Dimitris, additional, Kuttichira, Praveenlal, additional, Kallivayalil, Roy Abraham, additional, Javed, Afzal, additional, Afridi, Muhammad Iqbal, additional, James, Bawo, additional, Seb-Akahomen, Omonefe Joy, additional, Fiedorowicz, Jess, additional, Daskalakis, Jeff, additional, Yatham, Lakshmi N., additional, Yang, Lin, additional, Okasha, Tarek, additional, Dahdouh, Aïcha, additional, Gerdle, Björn, additional, Tiihonen, Jari, additional, Shin, Jae Il, additional, Lee, Jinhee, additional, Mhalla, Ahmed, additional, Gaha, Lotfi, additional, Brahim, Takoua, additional, Altynbekov, Kuanysh, additional, Negay, Nikolay, additional, Nurmagambetova, Saltanat, additional, Jamei, Yasser Abu, additional, Weiser, Mark, additional, and Correll, Christoph U., additional
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- 2024
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10. Associations of 24-hour movement guidelines adherence with fruit and vegetable intake in university students.
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Zhang, Yao, Yang, Xingyi, Yang, Zhen, Chi, Xinli, and Chen, Sitong
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DIETARY patterns ,SLEEP quality ,SEDENTARY behavior ,FOOD habits ,CONVENIENCE sampling (Statistics) - Abstract
Background: Unhealthy eating habits, such as low vegetable and fruit intake, are associated with many health problems. 24-h movement behaviors have been reported to be positively associated with numerous health-related outcomes. Despite the importance of these two modifiable lifestyle behaviors in building healthy habits in university students, there is a paucity of relevant research in this population. Therefore, this study aims to examine the correlation between compliance with 24-h movement guideline (24-h MG) and intake of fruits and vegetables (IFV) in Chinese university students. Methods: This study investigated the relationship between the compliance with 24-h MG and IFV in 1,793 Chinese university students using a convenience sampling method online. Physical activity (PA) and sedentary behavior (SB) were assessed by the International Physical Activity Questionnaire-Short Form, while sleep was measured using the Pittsburgh Sleep Quality Index. The Chinese version of the Health Promoting Lifestyle Profile II was used to measure IFV. Generalized linear models were applied to examine the correlation between compliance with the 24-h MG and eating habits. Results: The proportion of participants who routinely consumed vegetables and fruits was 24.6% and 43.1%, respectively, while the proportion of meeting the three 24-h MG and a combination of any two guidelines was 27.8% and 40.1%, respectively. Meeting all three guidelines was associated with a greater IFV intake compared to not meeting either guideline. Meeting all three guidelines (OR = 2.42 [1.63, 3.58]) and the combination of moderate to vigorous PA (MVPA) and sleep (OR = 2.06 [1.37, 3.10]) were positively associated with the frequency of vegetable consumption (p < 0.05). As well, meeting all three guidelines (OR = 2.06 [1.37, 3.10]), the combination of MVPA and sleep (OR = 1.72 [1.04, 2.84]), and sleep only (OR = 1.88 [1.21, 2.92]) were positively associated with fruits consumption (p < 0.05). Conclusion: Almost a third of the university students met the three 24-h MG, and compliance with all three guidelines was associated with a higher frequency of IFV. Furthermore, meeting the sleep guideline alone or in conjunction with the PA, and meeting the entire 24-h MG was associated with greater consumption of fruits. [ABSTRACT FROM AUTHOR]
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- 2024
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11. Longitudinal Associations between Healthy Eating Habits, Resilience, Insomnia, and Internet Addiction in Chinese College Students: A Cross-Lagged Panel Analysis.
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Yao, Liqing, Liang, Kaixin, Huang, Liuyue, Xiao, Jialin, Zhou, Kaiji, Chen, Sitong, and Chi, Xinli
- Abstract
This study aimed to explore the longitudinal associations between healthy eating habits, resilience, insomnia, and Internet addiction by using a cross-lagged panel analysis of Chinese college students. Overall, 807 Chinese college students completed questionnaires on healthy eating habits, resilience, insomnia, and Internet addiction from August 2020 (time 1, T1) to November 2020 (time 2, T2), and were selected for the data analyses. Healthy eating habits (T1) had significant effects on resilience (T2; β = 0.064, p < 0.05) and insomnia (T2; β = −0.064, p < 0.05), but not Internet addiction (T2; β = −0.028, p > 0.05). Insomnia (T1) negatively predicted resilience (T2; β = −0.098, p < 0.01). Insomnia was bidirectionally associated with Internet addiction (Internet addiction at T1 to insomnia at T2: β = 0.085, p < 0.01; insomnia at T1 to Internet addiction at T2: β = 0.070, p < 0.05). Additionally, Internet addiction (T1) significantly predicted resilience (T2; β = −0.075, p < 0.05). This study further expanded the understanding of the longitudinal associations between healthy eating habits, resilience, insomnia, and Internet addiction, which provided higher-level evidence and important implications for the interventions for reducing college students' Internet addiction, developing healthy eating habits, and improving resilience and sleep health. [ABSTRACT FROM AUTHOR]
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- 2024
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12. Network Analysis of Relationships between Depressive Symptoms and Stressful Life Events in Chinese Vocational School Students
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Wu, Chengrui, primary, He, Yunhan, additional, Liang, Kaixin, additional, Chen, Shiyun, additional, Chi, Xinli, additional, and LeMoult, Joelle, additional
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- 2024
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13. Age‐varying associations of parent‐adolescent relationship and school connectedness with adolescent self‐compassion: Differences by gender.
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Peng, Yujia, Xia, Mengya, and Chi, Xinli
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- 2024
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14. Changes in the networks of complex posttraumatic stress disorder symptoms among Chinese college students with childhood trauma.
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Huang L, Chi P, Zhao Y, Ren Y, Liang K, and Chi X
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- Humans, Male, Female, Longitudinal Studies, Young Adult, China, Universities, Cross-Sectional Studies, Adult, Adverse Childhood Experiences statistics & numerical data, Adolescent, Stress Disorders, Post-Traumatic psychology, Students psychology
- Abstract
Objective: To advance understanding of the development of complex posttraumatic stress disorder (CPTSD) symptoms longitudinally and facilitate future treatments, the present study investigated changes in the network of CPTSD symptoms among Chinese college students with childhood trauma., Method: A longitudinal study was conducted with college students, following them three times at 3-month intervals. CPTSD symptoms were measured using the International Trauma Questionnaire, and childhood trauma was assessed by the revised Adverse Childhood Experiences Scale. The final sample consisted of 294 participants with childhood trauma at baseline measurement (28.9% were males, M
age = 20.76 years). Comparisons of cross-sectional networks and cross-lagged panel network (CLPN) analysis were performed to characterize the features and changes of interactions among CPTSD symptoms., Results: Sense of failure and isolation were the core symptoms in the cross-sectional networks of CPTSD symptoms. The comparison of cross-sectional networks indicated that the global network strength was stable, and no node's strength centrality and only one edge weight changed significantly from Time 1 (T1) to Time 3 (T3). The findings of the CLPN model reveal that worthlessness, difficulties with intimacy, and flashbacks have the highest out-expected influence. In the T1-T3 network, the strongest edge was from worthlessness to sense of failure., Conclusions: Cross-sectional network analyses and comparisons revealed the characteristics of CPTSD networks at multiple time points, while the CLPN analysis identified the longitudinal dynamics of CPTSD symptoms. These provide insights for designing more targeted intervention plans for college students with childhood trauma. (PsycInfo Database Record (c) 2024 APA, all rights reserved).- Published
- 2024
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15. Move more today, sleep better tonight? Daily associations between physical activity and sedentary behavior with sleep among young adults with and without insomnia symptoms.
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Liang K, Le F, Chi P, Chen S, Huang L, and Chi X
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Objective: At the between-person level, it is well-documented that individuals with more physical activity (PA) and less sedentary behavior (SB) tend to have better sleep outcomes than their peers. However, the associations at the within-person level remain unclear. This study investigated the daily associations between PA and SB with nighttime sleep among young adults with and without insomnia symptoms., Methods: Data was collected through activity trackers and online questionnaires for 7 consecutive days among 147 university students, including time spent on moderate to vigorous physical activity (MVPA), light physical activity (LPA), and SB, along with sleep duration, sleep efficiency, and sleep quality. Participants were classified into two subgroups according to the presence of insomnia symptoms, which were determined by a self-reported insomnia scale. Multilevel compositional data analysis was conducted on the total sample, and separately on subsamples characterized by the presence and absence of insomnia symptoms., Results: In the total sample and subsample without insomnia symptoms, substitutions among MVPA, LPA, and SB were not associated with changes in sleep outcomes at the daily level. However, in the subsample with insomnia symptoms, days with more MVPA or SB and less LPA were associated with higher sleep efficiency, while days with more LPA at the expense of MVPA or SB were associated with lower sleep efficiency., Conclusions: For young adults with insomnia symptoms, replacing LPA with MVPA on a given day may improve their sleep efficiency that night., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)
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- 2024
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16. Collaborative outcomes study on health and functioning during infection times (COH-FIT): Insights on modifiable and non-modifiable risk and protective factors for wellbeing and mental health during the COVID-19 pandemic from multivariable and network analyses.
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Solmi M, Thompson T, Cortese S, Estradé A, Agorastos A, Radua J, Dragioti E, Vancampfort D, Thygesen LC, Aschauer H, Schlögelhofer M, Aschauer E, Schneeberger A, Huber CG, Hasler G, Conus P, Cuénod KQD, von Känel R, Arrondo G, Fusar-Poli P, Gorwood P, Llorca PM, Krebs MO, Scanferla E, Kishimoto T, Rabbani G, Skonieczna-Żydecka K, Brambilla P, Favaro A, Takamiya A, Zoccante L, Colizzi M, Bourgin J, Kamiński K, Moghadasin M, Seedat S, Matthews E, Wells J, Vassilopoulou E, Gadelha A, Su KP, Kwon JS, Kim M, Lee TY, Papsuev O, Manková D, Boscutti A, Gerunda C, Saccon D, Righi E, Monaco F, Croatto G, Cereda G, Demurtas J, Brondino N, Veronese N, Enrico P, Politi P, Ciappolino V, Pfennig A, Bechdolf A, Meyer-Lindenberg A, Kahl KG, Domschke K, Bauer M, Koutsouleris N, Winter S, Borgwardt S, Bitter I, Balazs J, Czobor P, Unoka Z, Mavridis D, Tsamakis K, Bozikas VP, Tunvirachaisakul C, Maes M, Rungnirundorn T, Supasitthumrong T, Haque A, Brunoni AR, Costardi CG, Schuch FB, Polanczyk G, Luiz JM, Fonseca L, Aparicio LV, Valvassori SS, Nordentoft M, Vendsborg P, Hoffmann SH, Sehli J, Sartorius N, Heuss S, Guinart D, Hamilton J, Kane J, Rubio J, Sand M, Koyanagi A, Solanes A, Andreu-Bernabeu A, Cáceres ASJ, Arango C, Díaz-Caneja CM, Hidalgo-Mazzei D, Vieta E, Gonzalez-Peñas J, Fortea L, Parellada M, Fullana MA, Verdolini N, Andrlíková E, Janků K, Millan MJ, Honciuc M, Moniuszko-Malinowska A, Łoniewski I, Samochowiec J, Kiszkiel Ł, Marlicz M, Sowa P, Marlicz W, Spies G, Stubbs B, Firth J, Sullivan S, Darcin AE, Aksu H, Dilbaz N, Noyan O, Kitazawa M, Kurokawa S, Tazawa Y, Anselmi A, Cracco C, Machado AI, Estrade N, De Leo D, Curtis J, Berk M, Carvalho AF, Ward P, Teasdale S, Rosenbaum S, Marx W, Horodnic AV, Oprea L, Alexinschi O, Ifteni P, Turliuc S, Ciuhodaru T, Bolos A, Matei V, Nieman DH, Sommer I, van Os J, van Amelsvoort T, Sun CF, Guu TW, Jiao C, Zhang J, Fan J, Zou L, Yu X, Chi X, de Timary P, van Winkel R, Ng B, Peña de León E, Arellano R, Roman R, Sanchez T, Movina L, Morgado P, Brissos S, Aizberg O, Mosina A, Krinitski D, Mugisha J, Sadeghi-Bahmani D, Sheybani F, Sadeghi M, Hadi S, Brand S, Errazuriz A, Crossley N, Ristic DI, López-Jaramillo C, Efthymiou D, Kuttichira P, Kallivayalil RA, Javed A, Afridi MI, James B, Seb-Akahomen OJ, Fiedorowicz J, Daskalakis J, Yatham LN, Yang L, Okasha T, Dahdouh A, Tiihonen J, Shin JI, Lee J, Mhalla A, Gaha L, Brahim T, Altynbekov K, Negay N, Nurmagambetova S, Jamei YA, Weiser M, and Correll CU
- Abstract
There is no multi-country/multi-language study testing a-priori multivariable associations between non-modifiable/modifiable factors and validated wellbeing/multidimensional mental health outcomes before/during the COVID-19 pandemic. Moreover, studies during COVID-19 pandemic generally do not report on representative/weighted non-probability samples. The Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) is a multi-country/multi-language survey conducting multivariable/LASSO-regularized regression models and network analyses to identify modifiable/non-modifiable factors associated with wellbeing (WHO-5)/composite psychopathology (P-score) change. It enrolled general population-representative/weighted-non-probability samples (26/04/2020-19/06/2022). Participants included 121,066 adults (age=42±15.9 years, females=64 %, representative sample=29 %) WHO-5/P-score worsened (SMD=0.53/SMD=0.74), especially initially during the pandemic. We identified 15 modifiable/nine non-modifiable risk and 13 modifiable/three non-modifiable protective factors for WHO-5, 16 modifiable/11 non-modifiable risk and 10 modifiable/six non-modifiable protective factors for P-score. The 12 shared risk/protective factors with highest centrality (network-analysis) were, for non-modifiable factors, country income, ethnicity, age, gender, education, mental disorder history, COVID-19-related restrictions, urbanicity, physical disorder history, household room numbers and green space, and socioeconomic status. For modifiable factors, we identified medications, learning, internet, pet-ownership, working and religion as coping strategies, plus pre-pandemic levels of stress, fear, TV, social media or reading time, and COVID-19 information. In multivariable models, for WHO-5, additional non-modifiable factors with |B|>1 were income loss, COVID-19 deaths. For modifiable factors we identified pre-pandemic levels of social functioning, hobbies, frustration and loneliness, and social interactions as coping strategy. For P-scores, additional non-modifiable/modifiable factors were income loss, pre-pandemic infection fear, and social interactions as coping strategy. COH-FIT identified vulnerable sub-populations and actionable individual/environmental factors to protect well-being/mental health during crisis times. Results inform public health policies, and clinical practice., Competing Interests: Conflict of interest Conflict of interest statements of all authors are detailed in eTable 12., (Copyright © 2024. Published by Elsevier B.V.)
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- 2024
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17. Association between sports participation and resilience in school-attending students: a cross-sectional study.
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Sheng X, Liang K, Li K, Chi X, and Fan H
- Abstract
Aim: This research sought to identify the association between sports participation and resilience in children and adolescents as a means to enhance mental health., Methods: A comprehensive survey was carried out, encompassing primary, middle, and high school students from chosen educational institutions. The analytical sample comprised 67,281 students of school age. Sports participation and resilience were evaluated using validated assessment tools, while relevant covariates, such as sex and school grade, were assessed through self-reported questionnaires. Generalized Linear Models were applied to ascertain the association between sports participation and resilience for the entire sample, and separately for subgroups divided by gender or school grade, after controlling for covariates., Results: Among the 67,281 school students, males constituted 51.9% of the sample. Approximately 47.1% of the entire sample reported no sports participation, and the average resilience score was 24.7. The regression model analysis revealed that, in the entire sample, increased in sports participation was linked to higher resilience scores (odds ratio [OR] for 1-3 times per month: 1.20, 95%CI: 1.16-1.24; OR for 1-2 times per week: 1.38, 95%CI: 1.33-1.43; OR for 3 times or more per week: 1.72, 95%CI: 1.65-1.79). Analyses stratified by gender and school grade indicated that sports participation was consistently associated with greater resilience., Conclusion: This study provides cross-sectional evidence supporting the positive association between sports participation and the resilience of children and adolescents, underscoring the potential of encouraging sports participation as a strategy for promoting mental health resilience. The findings presented herein should be subject to further confirmation or refutation in future research endeavors., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Sheng, Liang, Li, Chi and Fan.)
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- 2024
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18. Cross-sectional association between 24-hour movement guidelines and depressive symptoms in Chinese university students.
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Zhang Y, Chi X, Huang L, Yang X, and Chen S
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- Young Adult, Humans, Female, Adult, Male, Universities, Cross-Sectional Studies, Students, Depression diagnosis, Exercise
- Abstract
Background: The world's first 24-h movement guidelines for adults were released on 15 October 2020 in Canada, though evidence of their associations with health indicators in young adults is sparse. This study aimed to report the prevalence of meeting the 24-h movement guidelines and associations with depressive symptoms in a sample of Chinese university students., Methods: Cross-sectional data from 1,793 Chinese university students (mean age = 20.7 years, 63.6% female) were used. Sociodemographic information, movement behaviors (physical activity, sedentary behavior, and sleep duration), and depressive symptoms were collected using a self-reported questionnaire., Results: The prevalence of meeting the 24-h movement guidelines was 27.8% in Chinese university students. Logistic regression results show that compared to those who met the 24-h movement guidelines, odds ratio (OR) for depressive symptoms in those who met fewer recommendations contained in the 24-h movement guidelines were significantly higher (OR for none = 3.4, 95% CI [2.1-5.5], p < 0.001; OR for one = 2.7, 95% CI [2.0-3.8], p < 0.001; OR for two = 1.5, 95% CI [1.1-2.1], p = 0.013)., Conclusion: The prevalence of meeting the 24-h movement guidelines in Chinese university students was relatively low and should be enhanced through multiple strategies. Meeting the 24-h movement guidelines was associated with lower risk for depression in Chinese young adults. It is suggested that moving more, sitting less and sleeping well in this population may reduce the occurrence of depression., Competing Interests: The authors declare there are no competing interests., (©2024 Zhang et al.)
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- 2024
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