| Literature DB >> 35631277 |
Giovanni Farello1, Marianna D'Andrea1, Alessia Quarta1, Armando Grossi2, Davide Pompili1, Emma Altobelli1, Stefano Stagi3, Clara Balsano4.
Abstract
BACKGROUND: We evaluated the changes in lifestyle during the COVID-19 pandemic lockdown in a sample of children and adolescents in order to assess any increase in risk factors for the onset of cardiovascular diseases in later ages.Entities:
Keywords: dietary habits; home-confinement; obesity; pandemic
Mesh:
Year: 2022 PMID: 35631277 PMCID: PMC9147105 DOI: 10.3390/nu14102135
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 6.706
Demographics and COVID-19 Related Questions.
| 5–11 Years Old N = 402 | 12–18 Years Old N = 563 | |||
|---|---|---|---|---|
| Age years old mean (DS) | 8.45 ± 2.02 | 15.02 ± 1.80 | ||
| Child sex | ||||
| Male | 47.6% | 60.3% | ||
| Female | 52.4% | 39.7% | ||
| Child nationality | ||||
| Italian | 98.5% | 97.5% | ||
| Foreign | 1.5% | 2.5% | ||
| Parents nationality | Father | Mother | Father | Mother |
| Italian | 97.0% | 95.3% | 96.6% | 95.5% |
| Foreign | 3.0% | 4.7% | 3.4% | 4.5% |
| Parents education | Father | Mother | Father | Mother |
| Primary school license | 1.5% | 0.2% | 0.7% | 0.5% |
| Middle school license | 25.5% | 10% | 32.8% | 19.1% |
| Diploma | 53.8% | 45.4% | 49.5% | 55.2% |
| Degree | 19.2% | 44.4% | 16.9% | 25.2% |
| Number of family members in the home | ||||
| ≤3 | 27.1% | 28.4% | ||
| >3 | 72.9% | 71.6% | ||
| Parent-perceived child weight status | Pre-lockdown | Post-lockdown | Pre-lockdown | Post-lockdown |
| Underweight | 6.0% | 3.5% | 5.2% | 5.3% |
| Normal | 82.0% | 65.9% | 82.7% | 81.7% |
| Overweight | 12.0% | 17.7% | 11.6% | 12.4% |
| Obese | 0.0% | 0.6% | 0.5% | 0.7% |
| Parent-perceived physical lifestyle | Pre-lockdown | Post-lockdown | Pre-lockdown | Post-lockdown |
| More sedentary | 2.7% | 45.4% | 5.5% | 68.4% |
| Sometimes sedentary | 24.7% | 36.8% | 38.0% | 22.7% |
| Rarely sedentary | 50.2% | 13.5% | 35.6% | 6.5% |
| Never sedentary | 23.1% | 4.2% | 20.9% | 2.4% |
| COVID-19 diagnosis in at least one family member in the home | ||||
| No | 90.9% | 94.3% | ||
| Yes | 9.1% | 5.7% | ||
| Increased time spent at home by parents during lockdown | ||||
| Neither | 10.8% | 12.3% | ||
| Only one | 39.5% | 40.4% | ||
| Both | 49.8% | 47.2% | ||
| Income reduction because of lockdown | ||||
| No | 59.1% | 54.4% | ||
| Yes | 40.9% | 45.6% | ||
| Lost of at least one parent’s job because of lockdown | ||||
| No | 81.4% | 81.8% | ||
| Yes | 18.6% | 18.2% | ||
| State economic grant | ||||
| No | 59.9% | 68.8% | ||
| Yes | 40.1% | 31.2% | ||
Household food amounts during lockdown compared with before the pandemic.
| 5–11 Years Old | 12–18 Years Old | ||
|---|---|---|---|
| Total food in home | n.s | ||
| Decreased | 7.7 | 11.8 | |
| Unchanged | 41.5 | 44.7 | |
| Increased | 50.7 | 43.5 | |
| Nonperishable processed foods in home | n.s | ||
| Decreased | 4.5 | 7.5 | |
| Unchanged | 42.3 | 43.2 | |
| Increased | 53.2 | 49.3 | |
| High-calories snack foods in home | n.s | ||
| Decreased | 17.7 | 20.5 | |
| Unchanged | 56.2 | 53.4 | |
| Increased | 26.1 | 26.1 | |
| Sweets and desserts in home | * vs ** | ||
| Decreased | 6.0 * | 11.6 ** | |
| Unchanged | 45.5 | 43.9 | |
| Increased | 48.5 | 44.6 | |
| High-carbohydrate foods in home | * vs ** | ||
| Decreased | 1.7 * | 4.6 ** | |
| Unchanged | 44.8 * | 50.7 ** | |
| Increased | 54.0 | 44.7 | |
| Take-out/fast food/already prepared meals | * vs ** | ||
| Decreased | 53.8 * | 42.4 ** | |
| Unchanged | 40.6 | 44.6 | |
| Increased | 5.6 * | 12.9 ** | |
| Home-cooked meals with fresh foods | n.s | ||
| Decreased | 7.2 | 5.7 | |
| Unchanged | 39.7 | 42.5 | |
| Increased | 53.1 | 51.8 |
n.s. = not significant; * vs ** statistical significance between values.
Training before and during the COVID-19 pandemic.
| 5–11 Years Old N = 402(%) | 12–18 Years Old N = 563 (%) | |||||
|---|---|---|---|---|---|---|
| Training/week | PRE | DURING COVID-19 | PRE | DURING COVID-19 | ||
| No training | 11.7 | 87.6 | 12.3 | 80.1 | ||
| 1 times/week | 9.8 | 4.0 | 4.1 | 6.9 | <0.001 | n.s |
| 2 times/week | 50.5 | 6.4 | 27.4 | 6.5 | ||
| 3 times/week | 24.5 | 1.3 | 47.3 | 2.7 | ||
| Daily | 3.6 | 0.8 | 8.9 | 3.8 | ||
| Free play, going for a | PRE | DURING-COVID-19 | PRE | DURING COVID-19 | ||
| walk in their neighborhood | ||||||
| Never | 6.6 | 37.8 | 22.4 | 59.1 | <0.001 | n.s |
| 1 times/week | 13.2 | 15.3 | 21.0 | 12.0 | ||
| 2 times/week | 25.1 | 10.6 | 24.1 | 10.3 | ||
| 3 times/week | 23.1 | 11.3 | 14.5 | 6.2 | ||
| Daily | 31.9 | 25.0 | 17.9 | 12.4 | ||
n.s. = not significant, * p1 reflects the effect of time between the values before COVID-19 and during the COVID-19 pandemic in each group; ° p2 reflects the effect of either the 5–11 group or the 12–18 group on physical activity before and during the COVID-19 pandemic.
Inactive lifestyle.
| 5–11 Years Old N = 402(%) | 12–18 Years Old N = 563 (%) | |||||
|---|---|---|---|---|---|---|
| TV hours/day | PRE | DURING COVID-19 | PRE | DURING COVID-19 | ||
| Never | 3.8 | 1.5 | 14.1 | 12.8 | ||
| 1 h | 42.3 | 11.4 | 35.4 | 14.1 | <0.001 | <0.001 |
| 1–2 h | 42.1 | 21.8 | 37.8 | 22.8 | ||
| 2–3 h | 9.6 | 34.8 | 10.3 | 25.5 | ||
| >3 h | 2.3 | 30.5 | 2.4 | 24.8 | ||
| Videogames/Internet/day | PRE | DURING-COVID-19 | PRE | DURING COVID-19 | ||
| Never | 37.9 | 17.2 | 4.8 | 2.1 | <0.001 | <0.001 |
| 1 h | 43.4 | 24.6 | 35.1 | 8.2 | ||
| 1–2 h | 13.4 | 23.1 | 40.2 | 13.7 | ||
| 2–3 h | 3.8 | 18.7 | 13.7 | 28.2 | ||
| >3 h | 1.5 | 16.4 | 6.2 | 47.8 | ||
| School related video | PRE | DURING COVID-19 | PRE | DURING COVID-19 | ||
| activities | ||||||
| Never | 86.8 | 15.9 | 45.2 | 0.3 | <0.001 | n.s. |
| 1 h | 8.9 | 33.0 | 38.3 | 3.1 | ||
| 1–2 h | 4.3 | 20.5 | 9.0 | 5.8 | ||
| 2–3 h | 0.0 | 16.7 | 6.2 | 15.1 | ||
| >3 h | 0.0 | 14.0 | 1.4 | 75.6 | ||
n.s. = not significant, * p1 reflects the effect of time between before and during the COVID-19 pandemic in each group, ° p2 reflects the effect of either age 5–11 or age 12–18 on inactive lifestyle before and during the pandemic.