Sleep quality mediates the effect of chronotype on resilience in the time of COVID-19

Bazzani, Andrea; Bruno, Simone; Frumento, Paolo; Cruz-Sanabria, Francy; Turchetti, Giuseppe; Faraguna, Ugo

doi:10.1080/07420528.2021.1895199

Cited by 20 publications

(18 citation statements)

References 60 publications

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“…One possible explanation is that poor sleep quality might determine an emotional dysregulation [ 15 ], which in turn can engage people in following maladaptive coping strategies under stress condition [ 18 ]. The importance of a good sleep quality in granting adequate resilience levels during the first lockdown in Italy supports this hypothesis [ 47 ].…”

Section: Discussionmentioning

confidence: 93%

Poor sleep quality and unhealthy lifestyle during the lockdown: an Italian study

et al. 2022

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Background The lockdown measures implemented to face the 2019 Coronavirus Disease (COVID-19) first wave deeply modified the lifestyle of the Italian population. Despite its efficacy in limiting the number of infections, forced home confinement was paralleled by sleep/wake cycle disruptions, psychological distress and maladaptive coping strategies (i.e., unhealthy behaviours, such as tobacco and alcohol consumption). Under these unprecedented stress conditions, we explored a possible association between poor sleep quality and increased likelihood of engaging in an unhealthy lifestyle. Methods A cross-sectional study was conducted by disseminating an online survey via social networks and e-mail. We collected information on demographics, COVID-19-related data, sleep quality, chronotype, circadian misalignment, and lifestyle before and during the lockdown (i.e., consumption of cigarettes, alcoholic beverages, coffee, hypnotics, comfort food and fresh food; practice of physical activity). A global healthiness score was computed to assess participants’ modifications in lifestyle since the beginning of the lockdown. Results 1297 respondents were included in the study: 414 (31.9%) from Northern Italy, 723 (55.8%) from Central Italy, 160 (12.3%) from Southern Italy. The following variables were found to be significant predictors of the adoption of an unhealthy lifestyle since the beginning of the lockdown: poor sleep quality, high BMI and considering the measures adopted by the government to fight the pandemic as excessive. Living in Northern Italy, instead, was associated with healthier habits compared to living in Central Italy. Conclusions Poor sleepers may represent the share of the general population who paid the highest price for social isolation. Further investigations are required to explore the role of sleep quality assessment in the identification of individuals vulnerable to unhealthy behaviours under stressful conditions.

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Section: Discussionmentioning

confidence: 93%

Poor sleep quality and unhealthy lifestyle during the lockdown: an Italian study

et al. 2022

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“…Regarding the administered sleep measures, 103 studies reported PSQI scores. Specifically, 100 reported PSQI global scores [ [37] , [38] , [39] , [40] , 42 , 43 , 45 ], [ 46 , [48] , [49] , [50] , [51] , [52] , [53] ], [ [55] , [56] , [57] , [58] , [59] , [60] , [61] , [62] , [63] , [65] , [66] , [67] , [68] ], [ [70] , [71] , [72] , [73] , 75 , [77] , [78] , [79] , [80] , [81] , [82] , [83] , [84] , 86 , 87 ], [ [91] , [92] , [93] , [94] , [96] , [97] , [98] , 102 , 103 , [106] , [107] , [108] , [109] , [110] ], [ [113] , [114] , [115] , [116] , 119 , 120 , [122] , [123] , [124] , [...…”

Section: Resultsmentioning

confidence: 99%

“…The type of population was categorized as follow: adolescents (6 studies) [ 71 , 81 , 87 , 92 , 108 , 138 ], children (1 study) [38], general population (66 studies) [ 40 , 42 , 43 , 46 , 48 , 49 ], [ [51] , [52] , [53] , [54] , [55] , [56] , [57] , 59 , 60 , [64] , [65] , [66] ], [ [68] , [69] , [70] , 72 , 73 , 76 , [78] , [79] , [80] ], [ [82] , [83] , [84] , [85] , 88 , 89 , 101 , 103 ], [ 104 , 109 , 110 , 113 , 117 , 120 , 121 ], [ 123 , 128 , 129 , 131 , 134 , 135 , 137 ], [ 139 , [141] , [142] , [143] , [144] , [145] , 147 , [150] , [151] , [152] ], [ 154 <...…”

Section: Resultsmentioning

confidence: 99%

“…The total scores ranged from 3 to 6. Most of the studies (114) [ [37] , [38] , [39] , [40] , [41] , [42] , [43] , [44] , [45] , [46] ], [ [48] , [49] , [50] , [51] , [52] , [53] , [54] , [55] , [56] , [57] , [58] , [59] , [60] ], [ [63] , [64] , [65] , [66] , [67] , [68] ], [ [70] , [71] , [72] , [73] , [75] , [76] , [77] ], [ [79] , [80] , [81] , [82] , [83] , [84] , [85] , [86] , [87] , [88] , [89] , 91 , [93] , [94] , [95] , [96] , [97] , [98] , [99] ], [ [101] , [102] , [103] , [104] , [105] , [106] , [107] , [108] , [109] , [110] , [113] , …”

Section: Resultsunclassified

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Subjective sleep alterations in healthy subjects worldwide during COVID-19 pandemic: A systematic review, meta-analysis and meta-regression

Scarpelli¹,

Zagaria²,

Ratti³

et al. 2022

Sleep Medicine

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“…For example, sleep disturbances were found among smokers 81 and so does elevated heart rate, 82 and the relationship between chronotype and stress resilience was mediated by sleep quality. 83 Other possibility is that additional factors that were not measured in here may interact with current features. For example, low socioeconomic status was associated with increased cigarette smoking prevalence.…”

Section: Discussionmentioning

confidence: 97%

Predicting Chronic Stress among Healthy Females Using Daily-Life Physiological and Lifestyle Features from Wearable Sensors

et al. 2022

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Background Chronic stress is a highly prevalent condition that may stem from different sources and can substantially impact physiology and behavior, potentially leading to impaired mental and physical health. Multiple physiological and behavioral lifestyle features can now be recorded unobtrusively in daily-life using wearable sensors. The aim of the current study was to identify a distinct set of physiological and behavioral lifestyle features that are associated with elevated levels of chronic stress across different stress sources. Methods For that, 140 healthy female participants completed the Trier inventory for chronic stress (TICS) before wearing the Fitbit Charge3 sensor for seven consecutive days while maintaining their daily routine. Physiological and lifestyle features that were extracted from sensor data, alongside demographic features, were used to predict high versus low chronic stress with support vector machine classifiers, applying out-of-sample model testing. Results The model achieved 79% classification accuracy for chronic stress from a social tension source. A mixture of physiological (resting heart-rate, heart-rate circadian characteristics), lifestyle (steps count, sleep onset and sleep regularity) and non-sensor demographic features (smoking status) contributed to this classification. Conclusion As wearable technologies continue to rapidly evolve, integration of daily-life indicators could improve our understanding of chronic stress and its impact of physiology and behavior.

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Sleep quality mediates the effect of chronotype on resilience in the time of COVID-19

Cited by 20 publications

References 60 publications

Poor sleep quality and unhealthy lifestyle during the lockdown: an Italian study

Poor sleep quality and unhealthy lifestyle during the lockdown: an Italian study

Subjective sleep alterations in healthy subjects worldwide during COVID-19 pandemic: A systematic review, meta-analysis and meta-regression

Predicting Chronic Stress among Healthy Females Using Daily-Life Physiological and Lifestyle Features from Wearable Sensors

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