| Literature DB >> 35844861 |
Jirawut Limwattanayingyong1, Anyarak Amornpetchsathaporn1, Methaphon Chainakul1, Andrzej Grzybowski2,3, Paisan Ruamviboonsuk1.
Abstract
Purpose: To review the association between children's behavioral changes during the restriction due to the pandemic of Coronavirus disease (COVID-19) and the development and progression of myopia. Design: A literature review. Method: We looked for relevant studies related to 1) children's behavioral changes from COVID-19 restriction and 2) children's myopia progression during COVID-19 restriction by using the following keywords. They were "Behavior," "Activity," "COVID-19," "Lockdown," "Restriction," and "Children" for the former; "Myopia," "COVID-19," "Lockdown," "Restriction" for the latter. Titles, abstracts and full texts from the retrieved studies were screened and all relevant data were summarized, analyzed, and discussed.Entities:
Keywords: COVID−19; association; behavior; environment; lockdown; myopia; social
Mesh:
Year: 2022 PMID: 35844861 PMCID: PMC9276954 DOI: 10.3389/fpubh.2022.918182
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Search and selection strategies of children's behavioral changes during the COVID-19 lockdown.
Figure 2Search and selection strategies of the changes in myopia during the COVID-19 lockdown.
The selected studies without myopia preventive interventions, their characteristics and measurement outcomes.
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| School–based setting | Non–cycloplegic photorefraction | Wang J et al. ( | Longitudinal cohort | 6, 5.7 vs. 21.5 | NA | 6, −0.32 | NA |
| Non–cycloplegic autorefraction | Chang P et al. ( | Longitudinal cohort | NA, | NA | −0.030, −0.074, 0.016 ø | NA | |
| Cycloplegic autorefraction | Hu Y et al. ( | Cross–sectional cohorts | Grade3, | Grade3, 7.5 vs.15.3 | Grade3, −0.36 | Grade3, 0.08‡ ( | |
| Zhang X et al. ( | Cross–sectional cohorts | NA | Cannot compare | 6, −0.54 | 6, 0.3 7, 0.31 8, 0.26 6–8, 0.29‡ ( | ||
| Clinical–based setting | Non–cycloplegic autorefraction | Peregrina C et al. ( | Longitudinal cohort | NA | NA | 5, −0.21 | NA |
| Cycloplegic autorefraction | Ma D et al. ( | Cross–sectional cohorts | NA | NA | 8–10, −0.60D | 8–10, 0.01‡ ( | |
| Ma M et al. ( | Cross–sectional cohorts | NA | NA | 7–12, | NA | ||
| Erdinest N et al. ( | Longitudinal cohort | NA | NA | 9–15, | 9–15, 0.29 vs. 0.47‡‡ | ||
| Yum H et al. ( | Longitudinal cohort | NA | NA | 5–7, −0.066 vs. | 5–7, 0.036 vs. 0.05 ( | ||
| Aslan F et al. ( | Longitudinal cohort | NA | NA | 8–17, −0.54 | NA | ||
Longitudinal cohort means samples were the same group of children but different ages. Cross–sectional cohorts mean samples were in the different groups of children but the same age.
Cannot compare because not equal follow–up time in each sub study (3 years in pre–covid cohort vs. 8 months in covid cohort).
Age, mean diopter change from pre to post lockdown.
Age, mean diopter change from pre to during lockdown.
¶Age, mean diopter change pre vs. during lockdown.
¶¶Age, mean diopter change pre vs. post lockdown.
øRate of diopter change per month in pre, during, post– lockdown.
ø øAge, rate of diopter change per month in pre vs. post lockdown.
‡Age, mean AL change from pre to during lockdown.
‡‡Age, mean AL change in pre vs. post lockdown.
‡‡‡Age, mean AL change per month in pre vs. post lockdown.
The selected study with myopia preventive interventions, its characteristics and measurement outcomes.
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| Population–based approach | Cycloplegic autorefraction | Yang Y et | Longitudinal cohort | 5–6, 8.5% – 10.3% | NA | NA | NA |
Longitudinal cohort means samples were the same group of children but different ages.