Evidence map›Paper›PMID 38805704›Full record

ArticleJournal of medical Internet research2024

Prevalence and Factors Associated With Willingness to Sustain Pandemic-Induced Digital Work in the General Population and Moderating Effects of Screen Hours: Cross-Sectional Study.

Jiaying Li, Daniel Yee Tak Fong, Mandy Man Ho, Edmond Pui Hang Choi, Kris Yuet Wan Lok, Jung Jae Lee, WenJie Duan, Janet Yuen Ha Wong, Chia-Chin Lin

Abstract read
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Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jiaying LiSchool of Nursing, The University of Hong Kong, Hong Kong SAR, China (Hong Kong).ORCID 0000-0002-5473-4320
Daniel Yee Tak FongSchool of Nursing, The University of Hong Kong, Hong Kong SAR, China (Hong Kong).ORCID 0000-0001-7365-9146
Mandy Man HoSchool of Nursing, The University of Hong Kong, Hong Kong SAR, China (Hong Kong).ORCID 0000-0002-4460-7969
Edmond Pui Hang ChoiSchool of Nursing, The University of Hong Kong, Hong Kong SAR, China (Hong Kong).ORCID 0000-0001-9062-3540
Kris Yuet Wan LokSchool of Nursing, The University of Hong Kong, Hong Kong SAR, China (Hong Kong).ORCID 0000-0002-3227-0799
Jung Jae LeeSchool of Nursing, The University of Hong Kong, Hong Kong SAR, China (Hong Kong).ORCID 0000-0001-9704-2116
WenJie DuanDepartment of Social Work, East China University of Science and Technology, Shanghai, China.ORCID 0000-0002-1251-3685
Janet Yuen Ha WongSchool of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong SAR, China (Hong Kong).ORCID 0000-0002-3000-4577
Chia-Chin LinSchool of Nursing, The University of Hong Kong, Hong Kong SAR, China (Hong Kong).ORCID 0000-0001-9551-0991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pandemic has accelerated digital work transformation, yet little is known about individuals' willingness to sustain such digital modes and its associated factors. A better understanding of this willingness and its drivers is crucial for guiding the development of future digital work infrastructure, training programs, and strategies to monitor and prevent related health issues.

objectiveThis study aims to quantify the general population's willingness to sustain pandemic-induced digital work, identify its associated factors, and examine how screen time moderates these relationships.

methodsA cross-sectional study was conducted targeting Hong Kong residents aged ≥18 years who have increased engagement in digital work since the pandemic. Data were collected through self-reported, web-based surveys. Descriptive statistics determined prevalence rates, while structured multiphase logistic regression identified associated factors and explored the moderating effects of screen hour levels.

resultsThis unfunded study enrolled 1014 participants from May 2 to June 24, 2022, and completed data analysis within 3 months after data collection. A total of 391 (38.6%; 95% CI 35.6%-41.6%) participants expressed willingness to sustain digital work. Positive factors associated with this willingness included being an employee (odds ratio [OR] 3.12, 95% CI 1.59-6.45; P=.001), being health professionals (OR 3.32, 95% CI 1.49-7.82; P=.004), longer screen hours (OR 1.09, 95% CI 1.03-1.15; P=.002), and higher depression levels (OR 1.20, 95% CI 1.01-1.44; P=.04). Conversely, negatively associated factors included older age (OR 0.87, 95% CI 0.81-0.94; P=.001), extroversion (OR 0.66, 95% CI 0.51-0.86; P=.002), higher eHealth literacy (OR 0.96, 95% CI 0.93-0.98; P<.001), perceived greater susceptibility to COVID-19 (OR 0.84, 95% CI 0.74-0.96; P=.009), residence in a high-severity COVID-19 community (OR 0.73, 95% CI 0.63-0.84; P<.001), having infected individuals in the immediate social circle (OR 0.64, 95% CI 0.46-0.88; P=.006), higher BMI (OR 0.94, 95% CI 0.90-0.99; P=.02), feelings of being out of control (OR 0.96, 95% CI 0.93-0.98; P=.002), and higher fear of COVID-19 (OR 0.96, 95% CI 0.94-0.98; P=.001). In addition, a moderating effect of screen hour level (high: >8 h/d; low: ≤8 h/d) influenced the association among 10 factors related to willingness to sustain pandemic-induced digital work, including age, education level, household size, needs for regular medical care, BMI, frequency of both vigorous and moderate physical activities, perceived COVID-19 severity, immediate social circle COVID-19 presence, and fear of COVID-19 (all P values for interaction <.05).

conclusionsThe substantial willingness of the general population to sustain digital work after the pandemic highlights the need for robust telework infrastructure, thorough monitoring of adverse health outcomes, and the potential to expand telehealth services among this group. The identification of factors influencing this willingness and the moderating role of screen hours inform the development of personalized strategies to enhance digital work acceptance where needed.

Indexed as

COVID-19PandemicsScreen TimeAdolescentAdultAgedCross-Sectional StudiesFemaleHong KongHumansMaleMiddle AgedPrevalenceSARS-CoV-2Surveys and QuestionnairesYoung AdultCOVID-19 pandemicdigital workgeneral populationscreen timewillingness to sustain

Identifiers

PMID38805704
PMCPMC11167320

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.