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| Κλίμακα Ευζωίας Κατά το Lockdown× | Κλίμακα Επιπτώσεων Ψυχικής Υγείας λόγω COVID-19× | |
|---|---|---|
| Πεδίο | Δημόσια Υγεία | Δημόσια Υγεία |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2021 | 2020 |
| Δημιουργός≠ | Giuntella et al. | Wang et al. |
| Τύπος | Self-report | Self-report |
| Θεμελιώδης πηγή≠ | Giuntella, O., Hyde, K., Saccardo, S., & Solomon, S. (2021). Lifestyle and mental health disruptions during COVID-19. Proceedings of the National Academy of Sciences, 118(9), e2016632118. DOI ↗ | Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C. S., & Ho, R. C. (2020). Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) pandemic among the general population in China. International Journal of Environmental Research and Public Health, 17(5), 1729. DOI ↗ |
| Εναλλακτικές ονομασίες≠ | LWS, Restrictions Wellbeing Scale | CMHIS |
| Συναφείς | 3 | 3 |
| Σύνοψη≠ | The Lockdown Wellbeing Scale (LWS) measures the specific psychological and social impacts of mobility restrictions and lockdown policies on individual well-being. Developed by Giuntella and colleagues from economic and social data on pandemic restrictions, it captures dimensions of isolation, social disconnection, routinization disruption, and perceived loss of autonomy. The LWS is distinct from anxiety/depression measures, focusing instead on how restrictive policies themselves affect quality of life and social well-being. | The COVID-19 Mental Health Impact Scale (CMHIS) is a brief, multidimensional instrument assessing anxiety, depression, and stress symptoms triggered by the COVID-19 pandemic. Developed by Wang and colleagues in 2020 during the initial pandemic wave in China, it captures the spectrum of psychological distress across multiple symptom domains. The CMHIS has been widely adopted in pandemic surveillance and mental health research across 30+ countries, providing rapid assessment of population mental health burden. |
| ScholarGateΣύνολο δεδομένων ↗ |
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