Predictors and moderators of COVID-19 pandemic fatigue in Hong Kong

Lai, Daniel W. L.; Jin, Jiahui; Yan, Ecw; Lee, Vincent Wan Ping

doi:10.1016/j.jiph.2023.03.003

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…Instruments that have more dimensions or subscales show item complexity so they are better able to capture many components of fatigue than unidimensional instruments [21]. Most of the authors have chosen more complex instruments [22-27, 34, 35], whereas only two papers used the simple unidimensional instruments [36][37].…”

Section: Instumentmentioning

confidence: 99%

Scoping Review on Measurement Tool for Work Fatigue

Rahmania,

Ma’rifah,

Mayang Phuspaand

et al. 2024

SHS Web Conf.

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Measurement tools for assessing work fatigue are very diverse and developed according to research needs. The are several measurements that widely used to address or find out the work fatigue in industries. This research is a scoping review of “Swedish Occupational Fatigue Inventory”, “The Multidimensional Work Fatigue Inventory”, “Fatigue Severity Scale”, “Fatigue Assessment Scale”, “Short Form 36 Vitality Subscale”, and “The Occupational Fatigue Exhaustion Recovery Scale (OFER). This was reported under the guidance of PRISMA extension for Scoping Review (PRISMA-ScR). This study shows an inconsistency in use of measurement tools, even though researchers argue for practicality. The large number of studies on work fatigue allows confusion of researchers to choose a measurement tool for work fatigue that is suitable for the research population. This research helps other to describe various measurement tools of work fatigue that are often used globally. Further research can determine the measurement tool of fatigue according to needs and some considerations of advantages to be more accurate.

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Section: Instumentmentioning

confidence: 99%

Scoping Review on Measurement Tool for Work Fatigue

Rahmania,

Ma’rifah,

Mayang Phuspaand

et al. 2024

SHS Web Conf.

View full text Add to dashboard Cite

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“…However, prophylactic behavior is often subject to fatigue. Indeed, preventive behavior fatigue during secondary epidemic waves of a disease has been particularly well-documented since the COVID-19 pandemic event [58][59][60][61][62][63][64][65][66][67][68][69][70][71][72][73][74][75]. Failing to account for prophylactic behavior fatigue in behavior-disease model likely introduces bias in model outputs.…”

Section: Limitationsmentioning

confidence: 99%

Heterogeneous risk tolerance, in-groups, and epidemic waves

Tovissodé,

Baumgaertner

2024

Front. Appl. Math. Stat.

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There is a growing interest in the joint modeling of the dynamics of disease and health-related beliefs and attitudes, but coupling mechanisms are yet to be understood. We introduce a model where risk information, which can be delayed, comes in two flavors, including historical risk derived from perceived incidence data and predicted risk information. Our model also includes an interpretation domain where the behavioral response to risk information is subject to in-group pressure. We then simulate how the strength of behavioral reaction impacts epidemic severity as measured by epidemic peak size, number of waves, and final size. Simulated behavioral response is not effective when the level of protection that prophylactic behavior provides is as small as 50% or lower. At a higher level of 75% or more, we see the emergence of multiple epidemic waves. In addition, simulations show that different behavioral response profiles can lead to various epidemic outcomes that are non-monotonic with the strength of reaction to risk information. We also modeled heterogeneity in the response profile of a population and find they can lead to less severe epidemic outcome in terms of peak size.

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Psychological distress as a driver of early COVID-19 pandemic fatigue: a longitudinal analysis of the time-varying relationship between distress and physical distancing adherence among families with children and older adults

Morris,

Ashida,

Ramirez

et al. 2024

bmjph

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BackgroundEarly in the COVID-19 pandemic, adherence to non-pharmaceutical interventions is especially critical to controlling disease spread. Understanding the factors that influence the initial demotivation to comply with public health guidance can enable the design of more effective interventions for future epidemics.MethodsWe collected participant-reported data on psychological distress and the number of weekly contacts with non-household members across six surveys administered between April and September 2020 among two cohorts: (1) families with children and (2) adults aged 50 years and older. We then used marginal structural models to examine the time-varying effect of distress on future interactions with non-household members as a measure of pandemic fatigue.ResultsAmong families with children, each unit increase in distress at the beginning of the study resulted in a 9% increase in non-household contacts (RR: 1.09; 95% CI: 1.03 to 1.16), but the effect declined with each additional week by 1.8% (ratio of RR: 0.982; 95% CI: 0.971 to 0.993). For adults over age 50, the relationship was reversed. Increasing distress led to a 7.2% decline in contacts (RR: 0.928; 95% CI: 0.863, 0.998) at the beginning of the study, but this effect increased by 1.0% with each additional week (ratio of RR: 1.01; 95% CI: 1.00 to 1.02).ConclusionsWe observed that the initial effect of psychological distress on adherence to recommendations to reduce non-household contacts and the change in the effect of distress over time (pandemic fatigue) differed between our two cohorts. Response strategies among younger/lower risk populations may be more effective when focused on broader implications of community transmission, while response strategies among older/higher risk populations may be more effective if they focus on increasing resilience and fostering safe coping strategies.

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Predictors and moderators of COVID-19 pandemic fatigue in Hong Kong

Cited by 4 publications

References 36 publications

Scoping Review on Measurement Tool for Work Fatigue

Scoping Review on Measurement Tool for Work Fatigue

Heterogeneous risk tolerance, in-groups, and epidemic waves

Psychological distress as a driver of early COVID-19 pandemic fatigue: a longitudinal analysis of the time-varying relationship between distress and physical distancing adherence among families with children and older adults

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