| Literature DB >> 33681739 |
Corina Konstantinou1, Xanthi D Andrianou1, Andria Constantinou1, Anastasia Perikkou1, Eliza Markidou2, Costas A Christophi1, Konstantinos C Makris1.
Abstract
BACKGROUND: Non-pharmacological interventions (NPI), including lockdowns, have been used to address the COVID-19 pandemic. We describe changes in the environment and lifestyle of school children in Cyprus before the lockdown and during school re-opening, and assess compliance to NPI, using the exposome concept.Entities:
Keywords: COVID-19; Compliance; Confinement; EWAS; Exposome; Lockdown; Mitigation; Pandemic; Primary school children; Public health response; SARS-CoV-2
Year: 2021 PMID: 33681739 PMCID: PMC7910671 DOI: 10.1016/j.eclinm.2021.100721
Source DB: PubMed Journal: EClinicalMedicine ISSN: 2589-5370
Fig. 1.Epidemiological curves for COVID-19 reported cases (top) and cumulative number of cases (bottom) in Cyprus based on WHO data (1). NPI measures are denoted with vertical lines. The blue shaded areas indicate the two study periods for which the primary school children's lifestyle is described in our study.
Exposome domains and their specific components/variables included in the Exposome@School|COVID-19 survey. The number of variables is based on the main questions of the questionnaire and not on sub-questions.
| Exposome domain | Study group of components | Variables | # variables |
|---|---|---|---|
| General external | Socio-economic status | Parents’ educational level | 2 |
| Specific external | Lifestyle (children) | Exercise, diet, screen time, digital communication | 34 |
| Lifestyle (children) – related with NPI measures | Personal hygiene, number of contacts, time spent at home weekdays and weekend | 22 | |
| Lifestyle (parents) | Parents’ smoking and household cleaning activities frequency | 10 | |
| Internal external | Anthropometrics | Weight, height | 2 |
| Medical history | Chronic disease, vaccination | 4 | |
| Background characteristics | Age, sex, place of birth, years living in Cyprus, district/city of residence, municipality, postal code, school | 8 |
Fig. 2.Flow chart including number of schools contacted for the survey, those that agreed to forward questionnaire to parents, number of parents who completed the survey and number of children included in the analysis.
Demographics and general characteristics of participating children.
| Overall ( | |
|---|---|
| Female | 709 (47.6) |
| Male | 780 (52.4) |
| 9.6 (1.7) | |
| 5–6 year old | 4 (0.3) |
| 7–8 year old | 476 (31.5) |
| 9–10 year old | 481 (31.9) |
| 11–12 year old | 531 (35.2) |
| 13–14 year old | 17 (1.1) |
| Thinness | 77 (5.5) |
| Normal | 789 (56.8) |
| Overweight | 320 (23.1) |
| Obese | 202 (14.6) |
| Cyprus | 1448 (96.0) |
| EU country | 49 (3.2) |
| Non-EU country | 12 (0.8) |
| 9.1 (2.1) | |
| Nicosia | 613 (40.6) |
| Limassol | 375 (24.9) |
| Larnaca | 274 (18.2) |
| Paphos | 97 (6.4) |
| Famagusta | 150 (9.9) |
| No | 1367 (91.5) |
| Yes | 127 (8.5) |
| Yes | 1460 (98.9) |
| No | 16 (1.1) |
| Yes | 1304 (92.3) |
| No, vaccine not available | 15 (1.1) |
| No, we thought that more than one dose wasn't needed | 13 (0.9) |
| No, we neglected but they will be provided | 73 (5.2) |
| No, only one dose was needed | 8 (0.6) |
| Yes | 1302 (93.2) |
| No | 95 (6.8) |
| Yes | 1330 (88.1) |
| No | 179 (11.9) |
| No | 1119 (84.1) |
| Yes | 211 (15.9) |
| Negative | 135 (99.3) |
| Positive | 1 (0.7) |
| Has not completed primary school | 70 (4.6) |
| Primary School | 68 (4.5) |
| Middle School (3 years) | 21 (1.4) |
| High School/Vocational High School (diploma) | 207 (13.7) |
| Higher (after high school) non-tertiary Education | 83 (5.5) |
| Higher Tertiary Education (non-University) | 195 (12.9) |
| University (bachelor's degree) | 445 (29.5) |
| University-postgraduate (only Master's degree) | 385 (25.6) |
| PhD | 32 (2.1) |
| Has not completed primary school | 13 (0.9) |
| Primary School | 35 (2.3) |
| Middle School (3 years) | 78 (5.2) |
| High School/Vocational High School (diploma) | 480 (31.9) |
| Higher (after high school) non-tertiary Education | 89 (5.9) |
| Higher Tertiary Education (non-University) | 146 (9.7) |
| University (bachelor's degree) | 320 (21.3) |
| University-postgraduate (only Master's degree) | 300 (19.9) |
| PhD | 44 (2.9) |
| 1.4 (0.6) | |
| 87 (5.8) |
Based on WHO 2007 cut-off points for BMI-for-age (21). BMI standard deviation scores taking in account age and sex were calculated and then based on the specific cut-offs, the BMI-for-age categories were created (≤−2: Thinness; −2 〈 Normal ≤1; 1< Overweight ≤ 2; 〉 2: Obese).
Fig. 3.Average number of contacts at home (separately for vulnerable contacts), at school and elsewhere by age for the 2 periods: (a) following the re-opening of schools (post-lockdown) and (b) before the lockdown (pre-lockdown) during weekdays and weekends.
Fig. 4.Circo plot for exposome variables adjusted for age, sex, mother's and father's educational level. Only correlations with |r| ≥ 0.7 are shown. Only positive correlations were observed for |r| ≥ 0.7. “Post” refers to the post-lockdown period and “pre” to the pre-lockdown period. The width of the line indicates the level of correlation (larger width indicates higher r).
Summary tables for compliance indicators.
| Outcome | OverallN (%) | MalesN (%) | FemalesN (%) |
|---|---|---|---|
| Increase in hours staying at home – weekdays ( | 1096 (72.9) | 562 (72.4) | 515 (72.9) |
| Decrease in number of vulnerable contacts at home - weekdays ( | 573 (48.2) | 308 (48.4) | 257 (48.2) |
| Decrease in number of contacts at school ( | 1100 (85.1) | 569 (85.1) | 516 (84.9) |
| Increase in hand washing using soap or antiseptic ( | 1099 (74.4) | 549 (71.5) | 532 (77.2) |
Fig. 5.Odds ratios vs. -log10 (FDR-adjusted p-value) for ExWAS models of compliance indicators. Compliance indicators from top left to bottom right: Decrease in the number of contacts at school, decrease in the number of vulnerable contacts at home during weekdays, increase in hand hygiene using soap or antiseptic and increase in hours staying at home during weekdays.