None DOI Open Access

Texila international journal of public health, Journal Year: 2023, Volume and Issue: 11(3)

Published: Sept. 29, 2023

Plagiarism is the use or close imitation of language and ideas another author representation them as one's own original work.Duplicate publication, sometimes called self-plagiarism, occurs when an reuses substantial parts his her

Language: Английский

COVID-19, new challenges to human safety: a global review DOI Creative Commons
Saierdaer Aikebaier

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: March 14, 2024

In the context of sustainable human development, safety has gradually shifted from traditional state and political conflict to social horizontal inequality, pandemic exacerbated this variation risk. This narrative review includes literature 40 countries on five continents since 2020, explored tidy up impacts pandemics based three perspectives: personal safety, family refined macroscopic concept safety. The comprehensibility global conclusions is enhanced by combining it with Maslow’s hierarchy needs. Finally, some novel comparative results are included broaden understanding impact pandemic, help policymaker better understand changes a new perspective.

Language: Английский

Citations

5

A critical period for pandemic adaptation: The evolution of depressive symptomatology in a representative sample of adults across a 17-month period during COVID-19. DOI
Omid V. Ebrahimi,

Daniel J. Bauer,

Asle Hoffart

et al.

Journal of Psychopathology and Clinical Science, Journal Year: 2022, Volume and Issue: 131(8), P. 881 - 894

Published: Nov. 1, 2022

This doctoral journey has spanned across four years and three countries, there are many whom I wish to thank for supporting me along the way

Language: Английский

Citations

20

COVID-19&Depression: New and Detailed Evidence from NHANES DOI Creative Commons
Hongxuan Fan, Zhaoyu Ren, Zhang Ping

et al.

Journal of Infection and Public Health, Journal Year: 2025, Volume and Issue: unknown, P. 102770 - 102770

Published: April 1, 2025

Language: Английский

Citations

0

Impact of the COVID-19 pandemic on long-term sickness absences due to mental disorders in public servants: a retrospective observational study DOI Creative Commons
Shinichi Iwasaki, Yasuhiko Deguchi, Shohei Okura

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 22, 2025

Language: Английский

Citations

0

Perceived service quality and visitors' sustainable visit intentions in theme parks: empirical analysis on the THEMEQUAL scale DOI Creative Commons
Jingjing Luo, Xiang Li

Frontiers in Sustainable Tourism, Journal Year: 2024, Volume and Issue: 3

Published: May 2, 2024

Theme parks, as indispensable commodities within the tourism industry, wield significant influence in fostering local and national economic development. However, despite their crucial role, there remains a dearth of comprehensive research concerning determinants theme park visits. Employing THEMEQUAL scale, this study uses an ordered logit model in-depth interview method to investigate effects service quality on visitors' sustainable visit intentions (SVIs). The results show that is most pivotal determinant shaping SVIs are moderated by COVID-19, i.e., reduced emphasis bolstering inclinations during pandemic. In particular, staff delivering assurances being courteous markedly perceptions. This contributes interplay between quality, SVIs, providing references for policymakers managers develop recovery policies post-pandemic era.

Language: Английский

Citations

1

Association Between Organizational Downsizing and Depressive Symptoms Among Korean Workers: A Cross-sectional Analysis DOI Creative Commons
Young-Sun Park, Juyeon Oh, Heejoo Park

et al.

Safety and Health at Work, Journal Year: 2024, Volume and Issue: 15(3), P. 352 - 359

Published: July 4, 2024

Organizational downsizing may be significantly linked to depressive symptoms, yet research on this impact in Asian contexts is limited. This study investigates the association between during COVID-19 pandemic and symptoms across diverse employment statuses.

Language: Английский

Citations

1

Using Wearable Technology to Detect, Monitor, and Predict Major Depressive Disorder—A Scoping Review and Introductory Text for Clinical Professionals DOI Creative Commons

Quinty Walschots,

Milan Zarchev, Maurits Unkel

et al.

Algorithms, Journal Year: 2024, Volume and Issue: 17(9), P. 408 - 408

Published: Sept. 12, 2024

The rising popularity of wearable devices allows for extensive and unobtrusive collection personal health data extended periods time. Recent studies have used machine learning to create predictive algorithms assess symptoms major depressive disorder (MDD) based on these data. This review evaluates the clinical relevance models. Studies were selected represent range methodologies applications wearables MDD algorithms, with a focus wrist-worn devices. reviewed demonstrated that wearable-based able predict considerable accuracy. These models may be in clinic complement monitoring treatments or facilitate early intervention high-risk populations. In preventative context, they could prompt users seek help earlier better outcomes. However, lack standardized variation which performance metrics are reported complicates direct comparisons between studies. Issues reproducibility, overfitting, small sample sizes, limited population demographics also limit generalizability findings. As such, show promise predicting MDD, but there is significant room improvement before this can fulfilled.

Language: Английский

Citations

1

Reduction in physical activity during Covid-19 lockdowns predicts individual differences in cognitive performance several months after the end of the safety measures DOI Creative Commons
Manuela Macedonia, Brian Mathias, Claudia Rodella

et al.

Acta Psychologica, Journal Year: 2024, Volume and Issue: 250, P. 104472 - 104472

Published: Sept. 21, 2024

Language: Английский

Citations

1

The Impact of COVID-19 on Depression Among Service Industry Workers: A Comprehensive Analysis Based on the 2021 Korea Community Health Survey DOI Creative Commons
Ji Young Song, Min Gi Kim

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: March 30, 2024

Abstract Background This study aims to comprehensively explore the factors associated with depression among service industry workers during COVID-19 pandemic, utilizing data from 2021 Korea Community Health Survey. A total of 16,553 participants were included in analysis. Methods The research employed a composite sample logistic regression analysis, as dependent variable and various general characteristics independent variables. Results study's findings highlight notable prevalence within (3.3%). Women exhibited 2.22 times higher risk compared men (95% Confidence Interval (CI): 1.62–3.05). Service aged 40–49, 50–59, ≥ 60 demonstrated lower odds comparison those 19–29. Higher income levels reduced depression. experiencing job loss (Odds Ratio(OR) = 5.42, 95% CI: 3.07–9.55) deteriorated conditions (OR 1.97, 1.60–2.43) than stable employment. Conclusion In conclusion, this pinpoints risks workers, stressing gender, age, income, changes. Urgent action is needed, including targeted interventions enhanced workplace support ongoing pandemic. Valuable insights contribute understanding mental health disparities population.

Language: Английский

Citations

0

Unveiling Intersectional Vulnerabilities: Understanding the Varied Impact of COVID-19 Across Diverse Vulnerable Population in South Korea DOI Creative Commons
Yoon‐Kyoung Lee, Tae-Jin Lee

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: June 5, 2024

Abstract Background The global impact of the COVID-19 pandemic has been extensive, affecting individuals unequally. Apart from traditional vulnerable groups, new segments society have emerged as during this pandemic. This study focuses on exploring economic and psychological effects both newly recognized groups within Korea. Methods employed multiple logistic regression using micro-level social survey data Statistics Korea to calculate odds ratio relating two categories their mental health impacts. Additionally, through interaction term analysis, we tried uncover complex interrelationship between these non-vulnerable target groups. Results Both identified showed higher likelihood facing challenges compared encountering a decrease in income work-related stress was 2.17 times (95% CI = 1.90–2.47) for NVGs, while those belonging TVGs had 1.75-fold increase 1.47–2.08). Moreover, female self-employed workers faced overall at 1.36 greater risk 1.08–1.71), whereas elderly who are exhibited lower experiencing such intersection NVGs. Conclusion research offers in-depth understanding diverse impacts at-risk Furthermore, examinations that take into account interactions NVGs uncovered subtle subgroup dynamics, suggesting intersecting factors play role different levels vulnerability. provides valuable evidence informing policy decisions allocating resources.

Language: Английский

Citations

0