Relationships between psychopathological symptoms, pandemic-related stress, perceived social support, and COVID-19 infection history: a network analysis in Chinese college students.

Chi Kei Krystal Lee, Kwun Nam Joe Chan, Sau Man Corine Wong, Hou Sem Gabbie Wong, Hiu Ching Janet Lei, Yuen Kiu So, Shi Cheng Vivian Fung, Sai Ting Ryan Chu, Kar Kin Albert Chung, Pak Wing Calvin Cheng, Ka Ying Heidi Lo, Wai Chi Chan, Wing Chung Chang
Author Information
  1. Chi Kei Krystal Lee: Department of Psychiatry, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  2. Kwun Nam Joe Chan: Department of Psychiatry, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  3. Sau Man Corine Wong: School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  4. Hou Sem Gabbie Wong: Department of Psychiatry, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  5. Hiu Ching Janet Lei: Department of Psychiatry, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  6. Yuen Kiu So: Department of Psychiatry, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  7. Shi Cheng Vivian Fung: Department of Psychiatry, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  8. Sai Ting Ryan Chu: Department of Psychiatry, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  9. Kar Kin Albert Chung: Department of Psychiatry, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  10. Pak Wing Calvin Cheng: Department of Psychiatry, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  11. Ka Ying Heidi Lo: Department of Psychiatry, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  12. Wai Chi Chan: Department of Psychiatry, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  13. Wing Chung Chang: Department of Psychiatry, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.

Abstract

Introduction: Previous coronavirus, 2019 (COVID-19) research has applied network analysis to examine relationships between psychopathological symptoms but rarely extended to potential risk and protective factors or the influence of COVID-19 infection history. This study examined complex inter-relationships between psychopathological symptoms, COVID-19-related stressors, perceived social support, and COVID-19 infection history among Chinese university/college students during the peak of fifth pandemic wave using a network analysis approach.
Methods: A Least Absolute Shrinkage and Selection Operator-regularized partial correlation network using Gaussian graphical model was constructed in 1,395 Chinese university/college students in Hong Kong who completed a survey between 15 March and 3 April, 2022. Depressive, anxiety, and acute/traumatic stress symptoms were measured by Patient Health Questionnaire-9, Generalized anxiety Disorder-7, and Impact of Event Scale-6, respectively. COVID-19-related stressors and perceived social support were measured. Network differences by COVID-19 infection history (COVID-network vs. no_COVID-network) and network communities were examined.
Results: Our results showed that the most influential nodes were depressed mood, uncontrollable worries, and uncontrollable thoughts about COVID-19. The main bridging symptoms were concentration problems and psychomotor problems. The COVID-network, comprising participants with a history of COVID-19 infection only, was significantly stronger than the no_COVID-network. Perceived social support and stress from conflicts with family/friends formed a unique community with negative cognition and suicidal idea in the COVID-network only.
Conclusion: Our findings indicate that specific interventions targeting interpersonal conflicts and concentration problems as well as facilitating stress buffering effects of social support may represent effective strategies to reduce psychological distress in university/college students during COVID-19 and should be considered for future pandemic preparedness.

Keywords

References

  1. Asia Pac Psychiatry. 2020 Sep;12(3):e12381 [PMID: 32011101]
  2. Annu Rev Public Health. 2008;29:115-29 [PMID: 18348707]
  3. Global Health. 2021 Jan 25;17(1):15 [PMID: 33494769]
  4. Transl Psychiatry. 2021 May 28;11(1):329 [PMID: 34050125]
  5. Front Psychol. 2021 Jan 26;12:589927 [PMID: 33574786]
  6. J Eat Disord. 2022 May 1;10(1):59 [PMID: 35501911]
  7. Arch Intern Med. 2006 May 22;166(10):1092-7 [PMID: 16717171]
  8. J Affect Disord. 2023 Sep 15;337:86-93 [PMID: 37230268]
  9. Psychol Med. 2021 Mar 16;:1-9 [PMID: 33722329]
  10. Soc Psychiatry Psychiatr Epidemiol. 2010 Mar;45(3):405-12 [PMID: 19479171]
  11. Am J Psychiatry. 2008 Mar;165(3):342-51 [PMID: 18172020]
  12. Front Psychiatry. 2021 Apr 06;12:643957 [PMID: 33889102]
  13. J Affect Disord. 2023 May 15;329:11-18 [PMID: 36841295]
  14. Hong Kong Med J. 2018 Oct;24(5):466-472 [PMID: 30245480]
  15. Psychometrika. 2017 Dec;82(4):904-927 [PMID: 28290111]
  16. Health Place. 2021 May;69:102532 [PMID: 33752161]
  17. J Affect Disord. 2021 Sep 1;292:242-254 [PMID: 34134022]
  18. Mol Psychiatry. 2022 Aug;27(8):3214-3222 [PMID: 35668158]
  19. Stress Health. 2021 Oct;37(4):692-705 [PMID: 33434296]
  20. Br J Psychiatry. 2016 Oct;209(4):284-293 [PMID: 27445355]
  21. Eur Psychiatry. 2020 Aug 28;63(1):e77 [PMID: 32854786]
  22. J Clin Psychol. 2008 Sep;64(9):1089-108 [PMID: 18683856]
  23. JAMA Netw Open. 2020 Dec 1;3(12):e2027491 [PMID: 33275154]
  24. Front Psychol. 2022 May 23;13:886344 [PMID: 35677139]
  25. Psychol Methods. 2023 Dec;28(6):1273-1285 [PMID: 35404628]
  26. Soc Sci Med. 2023 Jul;329:116035 [PMID: 37384953]
  27. Appetite. 2021 May 1;160:105122 [PMID: 33453336]
  28. Fam Process. 2021 Sep;60(3):1002-1015 [PMID: 33220082]
  29. Emerg Adulthood. 2022 Apr;10(2):546-557 [PMID: 35382514]
  30. Annu Rev Clin Psychol. 2013;9:91-121 [PMID: 23537483]
  31. Biostatistics. 2008 Jul;9(3):432-41 [PMID: 18079126]
  32. PLoS Med. 2023 Apr 25;20(4):e1004206 [PMID: 37098048]
  33. Front Psychiatry. 2023 Apr 26;14:1159542 [PMID: 37181879]
  34. J Affect Disord. 2021 Nov 1;294:671-678 [PMID: 34333175]
  35. Transl Psychiatry. 2021 Dec 17;11(1):638 [PMID: 34921138]
  36. Front Psychol. 2022 Feb 10;13:837606 [PMID: 35222215]
  37. Infect Dis Poverty. 2020 Aug 12;9(1):113 [PMID: 32787929]
  38. Transl Psychiatry. 2022 Mar 10;12(1):98 [PMID: 35273161]
  39. Behav Res Methods. 2018 Feb;50(1):195-212 [PMID: 28342071]
  40. J Prev Med Hyg. 2020 Oct 06;61(3):E304-E312 [PMID: 33150219]
  41. Psychiatry Res. 2021 Jul;301:113863 [PMID: 33984824]
  42. J Abnorm Psychol. 1991 Aug;100(3):316-36 [PMID: 1918611]
  43. Schizophr Res. 2019 Apr;206:43-51 [PMID: 30573405]
  44. BMC Psychiatry. 2021 May 31;21(1):279 [PMID: 34059013]
  45. Psychiatry Res. 2019 Feb;272:30-35 [PMID: 30579178]
  46. Foods. 2021 Apr 19;10(4): [PMID: 33921603]
  47. MMWR Morb Mortal Wkly Rep. 2022 Apr 15;71(15):545-548 [PMID: 35421076]
  48. J Abnorm Psychol. 2019 Nov;128(8):892-903 [PMID: 31318245]
  49. Mindfulness (N Y). 2018;9(5):1584-1593 [PMID: 30294390]
  50. Lancet Respir Med. 2022 Jun;10(6):e58-e59 [PMID: 35460629]
  51. Curr Psychol. 2022 Aug 3;:1-12 [PMID: 35967497]
  52. J Psychiatr Res. 2021 May;137:542-553 [PMID: 33436263]
  53. Behav Res Methods. 2018 Apr;50(2):853-861 [PMID: 28718088]
  54. Psychol Bull. 1985 Sep;98(2):310-57 [PMID: 3901065]
  55. MMWR Morb Mortal Wkly Rep. 2021 Oct 08;70(40):1427-1432 [PMID: 34618798]
  56. Int J Environ Res Public Health. 2020 May 25;17(10): [PMID: 32466251]
  57. J Psychol. 2012 Jan-Apr;146(1-2):229-41 [PMID: 22303622]
  58. Eur J Psychotraumatol. 2020 Sep 8;11(1):1779494 [PMID: 33062202]
  59. Front Public Health. 2022 Jun 29;10:857147 [PMID: 35844893]
  60. J Affect Disord. 2021 May 15;287:261-267 [PMID: 33799046]
  61. J Affect Disord. 2023 Mar 1;324:190-198 [PMID: 36586620]
  62. BMC Psychiatry. 2021 Jan 7;21(1):16 [PMID: 33413238]
  63. PLoS One. 2017 Jun 8;12(6):e0174035 [PMID: 28594839]
  64. Multivariate Behav Res. 2021 Mar-Apr;56(2):243-248 [PMID: 32264714]
  65. Ann Gen Psychiatry. 2022 Feb 14;21(1):7 [PMID: 35164779]
  66. Depress Anxiety. 2021 Mar;38(3):307-317 [PMID: 33465284]
  67. J Psychiatr Res. 2022 Sep;153:104-108 [PMID: 35810599]
  68. Multivariate Behav Res. 2021 Mar-Apr;56(2):353-367 [PMID: 31179765]
  69. J Affect Disord. 2021 Feb 15;281:714-720 [PMID: 33234284]
  70. J Affect Disord. 2022 Mar 15;301:463-471 [PMID: 34995705]
  71. Clin Psychol Rev. 2011 Apr;31(3):449-64 [PMID: 21183265]
  72. Appetite. 2021 Jan 1;156:104853 [PMID: 33038479]
  73. Psychol Med. 2020 Feb;50(3):353-366 [PMID: 31875792]
  74. JAMA Netw Open. 2021 Feb 1;4(2):e2037665 [PMID: 33606030]
  75. Front Psychiatry. 2022 Oct 06;13:994376 [PMID: 36276317]
  76. Nat Rev Microbiol. 2023 Mar;21(3):133-146 [PMID: 36639608]
  77. J Gen Intern Med. 2001 Sep;16(9):606-13 [PMID: 11556941]
  78. Transl Psychiatry. 2023 Dec 15;13(1):395 [PMID: 38102131]
  79. J Abnorm Psychol. 2016 Aug;125(6):747-57 [PMID: 27505622]
  80. Asian J Psychiatr. 2020 Jun;51:102083 [PMID: 32283510]
  81. Int J Environ Res Public Health. 2022 Jul 23;19(15): [PMID: 35897328]
  82. Transl Psychiatry. 2021 Sep 6;11(1):460 [PMID: 34489416]
  83. Psychosom Med. 1976 Sep-Oct;38(5):300-14 [PMID: 981490]

Word Cloud

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