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Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis.

ABSTRACT: In this two-study research using latent profile analysis (LPA), we investigated intra-individual combinations of conscientiousness, autonomy, self-regulation, and extraversion. Based on these combinations, we designed profiles and explored telecommuting preferences and job outcomes of employees during the COVID-19 pandemic. In Study 1, we recruited 199 participants (77 females, ages ranging from 18 to 65). Results of this study revealed three profiles. One profile scored high on all of the variables and displayed preferences for working on-site more than the other profiles. Additionally, this profile showed higher work engagement, job satisfaction, and perceived productivity than the other two profiles. To validate these findings, we conducted a second study with a sample of 492 participants (169 females; age ranged from 18 to 65). The results yielded five profiles, one scoring high on all of the variables. Similar to Study 1, this profile exhibited higher work engagement, job satisfaction, and perceived productivity than the other four profiles. Individuals in this profile preferred to work on-site compared to individuals in other profiles. Our findings add to the research demonstrating the importance of personality characteristics for telecommuting preferences and work-related outcomes.

Supplementary information

The online version contains supplementary material available at 10.1007/s12144-021-02496-8.

SUBMITTER: Bakac C

PROVIDER: S-EPMC8602983 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe coronavirus disease 2019 (COVID-19) pandemic drastically modified the occupational system wherein telecommuting has risen as the major form of work. Few studies have incorporated Karasek's job demand-control (JDC) model into explaining the health effects of telecommuting. This study aimed to investigate the health risk in South Korean telecommuters during the pandemic, and its distribution according to the job stress-related factors.MethodsA nationwide population-based cross-sectional study of South Korean laborers was conducted, utilizing the 6th Korean Working Conditions Survey (2020-2021). Following the previously described concept of telecommuting, 14,478 white-collar employees were eligible study participants. Telecommuting, job demand, job control, and various health indicators were measured by the responses to the survey. Participants were stratified into 4 job profiles classified by the JDC model. We conducted multiple logistic regression analyses between telecommuting and health-related outcomes to estimate the odds ratio (OR) with a 95% confidence interval (CI).ResultsOne hundred forty-six low-strain, 223 active, 69 passive, and 148 high-strain workers were screened as telecommuters. Compared to office workers, telecommuters had a higher proportion in high job control groups. Subgroup analysis demonstrated different relationships between telecommuting and health, where only active telecommuters showed a higher prevalence of depression (OR: 1.980, 95% CI: 1.126-3.481), and high-strain telecommuters were affected in most outcomes including insomnia (OR: 2.555, 95% CI: 1.473-4.433), musculoskeletal pain (OR: 2.786, 95% CI: 1.719-4.517), headache/eye strain (OR: 3.074, 95% CI: 1.992-4.745) and presenteeism (OR: 1.932, 95% CI: 1.193-3.131).ConclusionsThis study revealed significantly increased odds of multiple health outcomes among South Korean telecommuters during the COVID-19 pandemic era. High-strain job holders were prominently susceptible to the negative health impacts of telecommuting. Occupational health management towards telecommuters should approach mitigating high job demand and low job control.

Project description:Background Additional time spent on social media (SM) due to the COVID-19 pandemic, increased adolescents’ exposure to food and beverage (F&B) advertisements. The marketing of unhealthy F&B products featuring celebrities and influencers may contribute to an increased preference towards various products, potentially influencing consumption patterns and increasing one's long-term health risk. Objective The objective of this study was to examine SM's influence on adolescents’ food and beverage preferences during the COVID-19 pandemic and explore their parents’ perceptions of this phenomenon. Study Design, Setting, Participants Three, one-hour, semi-structured virtual focus groups were conducted with seven dyads of 6th grade students and their parents (n = 14) from a suburban school district in northeastern Pennsylvania. Students and parents participated in separate focus groups and completed a demographic survey that included SM use characteristics in June-September 2021. Measurable Outcome/Analysis Focus group transcripts were transcribed, coded, and analyzed by both authors using a constant comparison approach. Results Three themes that emerged from adolescents were: increased SM usage, factors that increased consumption, and increased recall of memorable aspects of F&B advertisements. Themes that emerged from parents were: parental observations of adolescents’ less healthy eating behaviors, parental influence over F&B purchases, and increased engagement in food trends seen on SM. Conclusions These themes suggest increased SM use influenced adolescents' ability to recall specific F&B brands and potentially influenced consumption. Safeguards seem to remain in place regarding parents’ influence over the adolescents’ F&B purchase requests. Additionally, parents may be aware of the targeted marketing used on SM and its potential to influence adolescents’ eating behaviors. These findings suggest the importance for parents, dietitians, and other healthcare providers to be aware of increased SM usage and the potential influence F&B advertisements may have on adolescent eating behaviors. These findings will also be important for nutrition educators to understand when teaching these risks to students/future practitioners. Funding Villanova University's Undergraduate Research Fellowship Program

Project description:Background and purposePrevious data suggest patient demographics and clinical presentation are primary predictors of motor recovery poststroke, with minimal contributions of physical interventions. Other studies indicate consistent associations between the amount and intensity of stepping practice with locomotor outcomes. The goal of this study was to determine the relative contributions of these combined variables to locomotor outcomes poststroke across a range of patient demographics and baseline function.MethodsData were pooled from 3 separate trials evaluating the efficacy of high-intensity training, low-intensity training, and conventional interventions. Demographics, clinical characteristics, and training activities from 144 participants >1-month poststroke were included in stepwise regression analyses to determine their relative contributions to locomotor outcomes. Subsequent latent profile analyses evaluated differences in classes of participants based on their responses to interventions.ResultsStepwise regressions indicate primary contributions of stepping activity on locomotor outcomes, with additional influences of age, duration poststroke, and baseline function. Latent profile analyses revealed 2 main classes of outcomes, with the largest gains in those who received high-intensity training and achieved the greatest amounts of stepping practice. Regression and latent profile analyses of only high-intensity training participants indicated age, baseline function, and training activities were primary determinants of locomotor gains. Participants with the smallest gains were older (≈60 years), presented with slower gait speeds (<0.40 m/s), and performed 600 to 1000 less steps/session.ConclusionsRegression and cluster analyses reveal primary contributions of training interventions on mobility outcomes in patients >1-month poststroke. Age, duration poststroke, and baseline impairments were secondary predictors. Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT02507466 and NCT01789853.

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Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis.

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