Using network analysis, the current study investigated the pathways that underlie selected components of sleep health and their changes over time. Undergraduates (N = 1423; 80.60% female) completed a two-wave survey, sleep health (i.e. chronotypologies (CTs), sleep procrastination (SP), sleep quality (SQ)), psychological distress (PD), emotion regulation (ER), self-control (SC), problematic smartphone use (PSU) were measured. CTs, SP, and SQ formed a spatially contiguous pattern that remained unchanged in both waves. ER and PD node increased its strength, betweenness, and closeness in the network, while the link between the two was strengthened at T2. PSU was connected to SP, but not to CTs and SQ during both waves. In the context of the network approach, SP had the highest strength, and its associations with other dimensions of individual sleep may represent key factors in understanding the influence of exposure to the COVID-19 outbreak on sleep health.
AbiddineFZEAljaberiMAGadelrabHF, et al. (2022) Mediated effects of insomnia in the association between problematic social media use and subjective well-being among university students during COVID-19 pandemic. Sleep Epidemiology2: 100030.
2.
AltenaEBaglioniCEspieCA, et al. (2020) Dealing with sleep problems during home confinement due to the COVID-19 outbreak: Practical recommendations from a task force of the European CBT-I Academy. Journal of Sleep Research29: e13052.
3.
BacaroVMeneoDCuratiS, et al. (2022) The impact of COVID-19 on Italian adolescents’ sleep and its association with psychological factors. Journal of Sleep Research31: e13689.
4.
BaikSYNewmanMG (2023) The transdiagnostic use of worry and rumination to avoid negative emotional contrasts following negative events: A momentary assessment study. Journal of Anxiety Disorders95: 102679.
5.
BhatSChokrovertyS (2022) Sleep disorders and COVID-19. Sleep Medicine91: 253–261.
6.
BrooksSKWebsterRKSmithLE, et al. (2020) The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. Lancet395: 912–920.
7.
BruniOMalorgioEDoriaM, et al. (2022) Changes in sleep patterns and disturbances in children and adolescents in Italy during the covid-19 outbreak. Sleep Medicine91: 166–174.
8.
BurgerJIsvoranuA-MLunanskyG, et al. (2023) Reporting standards for psychological network analyses in cross-sectional data. Psychological Methods28(4): 806–824.
9.
CaoHYanSGuC, et al. (2018) Prevalence of attention-deficit/hyperactivity disorder symptoms and their associations with sleep schedules and sleep-related problems among preschoolers in mainland China. BMC Pediatrics18: 70.
10.
ChenJChenZ (2008) Extended Bayesian information criteria for model selection with large model spaces. Biometrika95: 759–771.
11.
ConteFDe RosaORescottML, et al. (2022) High sleep fragmentation parallels poor subjective sleep quality during the third wave of the covid-19 pandemic: An actigraphic study. Journal of Sleep Research31: e13519.
12.
CuiGYinYLiS, et al. (2021) Longitudinal relationships among problematic mobile phone use, bedtime procrastination, sleep quality and depressive symptoms in Chinese college students: A cross-lagged panel analysis. BMC Psychiatry21: 449.
13.
Di BlasiMGulloSMancinelliE, et al. (2021) Psychological distress associated with the COVID-19 lockdown: A two-wave network analysis. Journal of Affective Disorders284: 18–26.
14.
DongW (2022) The Effect of College Students’ Short Video Addiction on Sleep Quality: The Chain Mediating Role of Self-Regulation and Sleep Procrastination. Changchun: Jilin University.
15.
ElhaiJDYangHFangJ, et al. (2020) Depression and anxiety symptoms are related to problematic smartphone use severity in Chinese young adults: Fear of missing out as a mediator. Addictive Behaviors101: 105962.
16.
EpskampSBorsboomDFriedEI (2018) Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods50: 195–212.
GaoCScullinMK (2020) Sleep health early in the coronavirus disease 2019 (COVID-19) outbreak in the United States: Integrating longitudinal, cross-sectional, and retrospective recall data. Sleep Medicine73: 1–10.
19.
GengYGuJWangJ, et al. (2021) Smartphone addiction and depression, anxiety: The role of bedtime procrastination and self-control. Journal of Affective Disorders293: 415–421.
20.
GongXXieXXuR, et al. (2010) Psychometric properties of the Chinese versions of DASS-21 in Chinese college students. Chinese Journal of Clinical Psychology18: 443–446.
21.
GrossJJJohnOP (2003) Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. Journal of Personality and Social Psychology85: 348–362.
22.
GuilfordJP (1950) Fundamental Statistics in Psychology and Education. New York, NY: McGraw-Hill.
23.
HaleLTroxelWBuysseDJ (2020) Sleep health: An opportunity for public health to address health equity. Annual Review of Public Health41: 81–99.
24.
HorneJAOstbergO (1976) A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. International Journal of Chronobiology4: 97–110.
25.
JordanDGWinerESSalemT (2020) The current status of temporal network analysis for clinical science: Considerations as the paradigm shifts?Journal of Clinical Psychology76: 1591–1612.
26.
KormanMTkachevVReisC, et al. (2020) COVID-19-mandated social restrictions unveil the impact of social time pressure on sleep and body clock. Scientific Reports10(1): 22225.
27.
KroeseFMDe RidderDTDEversC, et al. (2014) Bedtime procrastination: Introducing a new area of procrastination. Frontiers in Psychology5: 611.
28.
KühnelJSyrekCJDreherA (2018) Why don’t you go to bed on time? A daily diary study on the relationships between chronotype, self-control resources and the phenomenon of bedtime procrastination. Frontiers in Psychology9: 77.
29.
LamC. S.YuB. Y.CheungD. S.CheungT.LamS. C.ChungK.-F.HoF. Y.-.Y.YeungW.-F. (2021). Sleep and Mood Disturbances during the COVID-19 Outbreak in an Urban Chinese Population in Hong Kong: A Longitudinal Study of the Second and Third Waves of the Outbreak. International Journal of Environmental Research and Public Health, 18(16).
30.
LeoneMJSigmanMGolombekDA (2020) Effects of lockdown on human sleep and chronotype during the COVID-19 pandemic. Current Biology30(16): R930–R931.
31.
LeungL (2008) Linking psychological attributes to addiction and improper use of the mobile phone among adolescents in Hong Kong. Journal of Children and Media2: 93–113.
32.
LiJLiXJiangJ, et al. (2020) The effect of cognitive behavioral therapy on depression, anxiety, and stress in patients with COVID-19: A randomized controlled trial. Frontiers in Psychiatry11: 580827.
33.
LiuHWangH (2012) Mobile phone addiction tendency and loneliness in college students. Chinese Mental Health Journal26: 66–69.
34.
LuoTChengLQinL, et al. (2021) Reliability and validity of Chinese version of brief self-control scale. Chinese Journal of Clinical Psychology29: 83–86.
35.
MastenAS (2001) Ordinary magic. Resilience processes in development. American Psychologist56: 227–238.
36.
MengFXuanB (2023) Boredom proneness on Chinese college students’ phubbing during the COVID-19 outbreak: The mediating effects of self-control and bedtime procrastination. Journal of Healthcare Engineering2023: 4134283.
37.
MoldofskyHPatcaiJ (2011) Chronic widespread musculoskeletal pain, fatigue, depression and disordered sleep in chronic post-SARS syndrome; a case-controlled study. BMC Neurology11: 1–7.
38.
RodriguezJEHolmesHLAlquistJL, et al. (2023) Self-controlled responses to COVID-19: Self-control and uncertainty predict responses to the COVID-19 pandemic. Current Psychology42: 7321–7335.
39.
SarkanenTOAlakuijalaAPEDauvilliersYA, et al. (2018) Incidence of narcolepsy after H1N1 influenza and vaccinations: Systematic review and meta-analysis. Sleep Medicine Reviews38: 177–186.
40.
SchnellTKrampeH (2020) Meaning in life and self-control buffer stress in times of COVID-19: Moderating and mediating effects with regard to mental distress. Frontiers in Psychiatry11: 983.
41.
SoldatosCRDikeosDGPaparrigopoulosTJ (2000) Athens insomnia scale: Validation of an instrument based on ICD-10 criteria. Journal of Psychosomatic Research48: 555–560.
42.
TibshiraniR (1996) Regression shrinkage and selection via the Lasso. Journal of the Royal Statistical Society58: 267–288.
43.
van HooftEAJKreemersLM (2022) Stop and start control at work: Differential validity of two types of self-control for work behavior and emotion regulation. International Journal of Selection and Assessment30: 265–280.
44.
WangLLiuHLiZ, et al. (2007) Reliability and validity of emotion regulation Questionnaire Chinese revised version. Journal of Health Psychology15: 503–505.
45.
WrightKPLintonSKWithrowD, et al. (2020) Sleep in university students prior to and during COVID-19 Stay-at-Home orders. Current Biology30(14): R797–R798.
46.
XuHYangXLaiX, et al. (2022) Longitudinal relationships among perceived stress, suicidal ideation and sleep quality in Chinese undergraduates: A cross-lagged model. Journal of Affective Disorders299: 45–51.
47.
XuY (2017) A Conceptual and Mechanism Research of Sleep Time Procrastination Among College Students. Jinhua: Zhejiang Normal University.
48.
YangXHuHZhaoC, et al. (2021) A longitudinal study of changes in smart phone addiction and depressive symptoms and potential risk factors among Chinese college students. BMC Psychiatry21: 252.
49.
YazanAA-ASu HyunPJudeA, et al. (2020) Anxiety and depressive symptoms are associated with poor sleep health during a period of COVID-19-induced nationwide lockdown: A cross-sectional analysis of adults in Jordan. BMJ Open10: e041995.
50.
YeSXuH (2022) Influencing factors of problematic mobile phone use of college students. Journal of Wenzhou Medical University52: 410–415.
51.
YuHYangLTianJ, et al. (2022) The mediation role of self-control in the association of self-efficacy and physical activity in college students. International Journal of Environmental Research and Public Health19: 12152.
52.
YukselDMcKeeGBPerrinPB, et al. (2021) Sleeping when the world locks down: Correlates of sleep health during the COVID-19 pandemic across 59 countries. Sleep Health7: 134–142.
53.
ZakieiAKhazaieHRostampourM, et al. (2021) Acceptance and Commitment Therapy (ACT) improves sleep quality, experiential avoidance, and emotion regulation in individuals with insomnia-results from a randomized interventional study. Life11: 133.
54.
ZhangBHaoYRongY (2006) The reliability and validity of Chinese version morningness/eveningness questionnaire. Chinese Journal of Behavioral Medicine and Brain Science15: 856–858.
55.
ZhangMXWuAMS (2020) Effects of smartphone addiction on sleep quality among Chinese university students: The mediating role of self-regulation and bedtime procrastintion. Addictive Behaviors111: 106552.
56.
ZhaoCDingNYangX, et al. (2021) Longitudinal effects of stressful life events on problematic smartphone use and the mediating roles of mental health problems in Chinese undergraduate students. Frontiers in Public Health9: 752210.
57.
ZhouS-JWangL-LYangR, et al. (2020) Sleep problems among Chinese adolescents and young adults during the coronavirus-2019 pandemic. Sleep Medicine74: 39–47.
58.
ZhuYHuangJYangM (2023) Association between chronotype and sleep quality among Chinese college students: The role of bedtime procrastination and sleep hygiene awareness. International Journal of Environmental Research and Public Health20: 197.
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