| Literature DB >> 35725564 |
Andrea Trombetta1, Laura De Nardi2, Giorgio Cozzi3, Luca Ronfani3, Lara Bigolin2, Egidio Barbi2,3, Matteo Bramuzzo3, Giuseppe Abbracciavento3.
Abstract
To investigate the coping strategies of a group of adolescents with somatic symptom disorder compared to non-somatic symptom disorder peers during the COVID-19 related lockdown.This cross-sectional study is the second part of a previously published study showing an improved trend in depression and anxiety in a group of patients with somatic symptom disorder compared to non-somatic symptom disorder peers. An anonymous semi-structured survey was distributed to two groups of Italian adolescents to measure the impact of quarantine on their daily life and coping strategies.We recruited 115 adolescents, 58 (50.4%) mean age 15.3, with a recent diagnosis of somatic symptom disorder and 57 (49.6%) mean age 15.8, control peers.The aim of this study was to detect differences in coping strategies and relationships with parents and peers, during the lockdown period in a group of adolescents with somatic symptom disorder and low disease burden when compared with a non-somatic symptom disorder group.The relationship with parents significantly worsened in 4 (6.9%) of adolescents with somatic symptom disorder compared to 12 (21.1%) adolescents in the non-somatic symptom disorder group (p = 0.048). The relationship with peers significantly improved in 13 (22.4%) of adolescents with symptom disorder versus 3 (5.3%) of peers of the non- somatic symptom disorder group (p = 0.013).Adolescents with somatic symptom disorder with a low burden of physical symptoms experienced less deterioration in their relationships with parents and peers than the non-somatic symptom disorder group.Entities:
Keywords: Adolescent Health; COVID-19; Coping strategies; Mental health; Somatic symptom disorder
Mesh:
Year: 2022 PMID: 35725564 PMCID: PMC9207852 DOI: 10.1186/s13052-022-01300-y
Source DB: PubMed Journal: Ital J Pediatr ISSN: 1720-8424 Impact factor: 3.288
General demographic survey, analyzing adolescents adaptive behaviors
| Yes | 57 (100%) | 57(98.3%) | 1 |
| No | 0 | 1 (1.7%) | |
| NA | |||
| Social Network | 38 (66.7%) | 32 (55.2%) | |
| Watching video on YouTube/ listening to music | 13 (22.8%) | 9 (15.5%) | |
| Reading newspapers online | 1 (1.8%) | 2 (3.4%) | |
| Playing videogames | 4 (7%) | 9 (15.5%) | |
| Online lessons/homework/school research | 5 (8.8%) | 10 (17.2%) | |
| Video calling | 0 | 2 (3.4%) | |
| Watching tv series/Netflix | 1 (1.8%) | 0 | |
| NA | |||
| 3 (5.3%) | 4 (6.9%) | ||
| 49 (86%) | 44 (75.9%) | ||
| 2 (3.5%) | 1 (1.7%) | ||
| 1 (1.8%) | 4 (6.9%) | ||
| Tik tok | 3 (5.3%) | 2 (3.4%) | |
| Snapchat | 1 (1,8%) | 2 (3.4%) | |
| Viber | 0 | 1 (1.7%) | |
| I do not use social network | 6 (10.5%) | 7 (12.1%) | |
| 0.844 | |||
| 0–1 h | 13 (22.8%) | 12 (20.7%) | |
| 1–2 h | 9 (15.8%) | 13 (22.4%) | |
| 2–3 h | 15 (26.3%) | 10 (17.2%) | |
| 3–4 h | 9 (15.8%) | 8 (13.8%) | |
| 4–5 h | 6 (10.5%) | 9 (15.5%) | |
| 5–6 h | 2 (3.5%) | 2 (3.4%) | |
| 6–7 h | 3 (5.3%) | 3 (5.2%) | |
| > 7 h | 0 | 1 (1.7%) | |
| 0.370 | |||
| 0–1 h | 22 (38.6%) | 21 (36.2%) | |
| 1–2 h | 16 (28.1%) | 11 (19%) | |
| 2–3 h | 10 (17.5%) | 5 (8.6%) | |
| 3–4 h | 1 (1.8%) | 4 (6.9%) | |
| 4–5 h | 1 (1.8%) | 4 (6.9%) | |
| 5–6 h | 1 (1.8%) | 2 (3.4%) | |
| 6–7 h | 1 (1.8%) | 1 (1.7%) | |
| > 7 h | 0 | 1 (1.7%) | |
| I do not use Netflix | 5 (8.8%) | 9 (15.5%) | |
| 0.709 | |||
| 0–1 h | 40 (70.2%) | 34 (58.6%) | |
| 1–2 h | 6 (10.5%) | 12 (20.7%) | |
| 2–3 h | 6 (10.5%) | 8 (13.8%) | |
| 3–4 h | 2 (3.5%) | 2 (3.4%) | |
| 4–5 h | 1 (1.8%) | 1 (1.7%) | |
| 5–6 h | 1 (1.8%) | 1 (1.7%) | |
| 6–7 h | 1 (1.8%) | 0 | |
| > 7 h | 0 | 0 | |
| 0.854 | |||
| 0–1 h | 33 (57.9%) | 31 (53.4%) | |
| 1–2 h | 11 (19.3%) | 14 (24.1%) | |
| 2–3 h | 7 (12.3%) | 5 (8.6%) | |
| 3–4 h | 3 (5.3%) | 2 (3.4%) | |
| 4–5 h | 1 (1.8%) | 2 (3.4%) | |
| 5–6 h | 0 | 0 | |
| 6–7 h | 0 | 0 | |
| > 7 h | 0 | 0 | |
| I do not watch video on YouTube | 2 (3.5%) | 4 (6.9%) | |
| 0.169 | |||
| 0–1 h | 4 (7%) | 3 (5.2%) | |
| 1–2 h | 3 (5.3%) | 4 (6.9%) | |
| 2–3 h | 13 (22.8%) | 6 (10.3%) | |
| 3–4 h | 16 (28.1%) | 15 (25.9%) | |
| 4–5 h | 3 (5.3%) | 8 (13.8%) | |
| 5–6 h | 6 (10.5%) | 10 (17.2%) | |
| 6–7 h | 4 (7%) | 9 (15.5%) | |
| > 7 h | 8 (14%) | 3 (5.2%) | |
| 0.270 | |||
| 0–1 h | 30 (52.6%) | 24 (41.4%) | |
| 1–2 h | 5 (8.8%) | 6 (10.3%) | |
| 2–3 h | 6 (10.5%) | 7 (12.1%) | |
| 3–4 h | 4 (7%) | 6 (10.3%) | |
| 4–5 h | 1 (1.8%) | 2 (3.4%) | |
| 5–6 h | 4 (7%) | 1 (1.7%) | |
| 6–7 h | 3 (5.3%) | 1 (1.7%) | |
| > 7 h | 1 (1.8%) | 0 | |
| I do not play videogames | 3 (5.3%) | 11 (19%) | |
| NA | |||
| Sport videogames | 12 (21.1%) | 11 (19%) | |
| Shooter/fighting games | 12 (21.1%) | 17 (29.3%) | |
| Tactical/strategy games | 13 (22.8%) | 11 (19%) | |
| Adventure games | 1 (1.8%) | 1 (1.7%) | |
| Virtual reality games | 1 (1.8%) | 2 (3.4%) | |
| Cars videogames | 1 (1.8%) | 0 | |
| I do not play videogames | 27 (47.4%) | 26 (44.8%) | |
| 0.509 | |||
| 0–1 h | 42 (73.7%) | 39 (67.2%) | |
| 1–2 h | 12 (21.1%) | 10 (17.2%) | |
| 2–3 h | 3 (5.3%) | 6 (10.3%) | |
| 3–4 h | 0 | 1 (1.7%) | |
| 4–5 h | 0 | 1 (1.7%) | |
| 5–6 h | 0 | 1 (1.7%) | |
| 6–7 h | 0 | 0 | |
| > 7 h | 0 | 0 | |
| I do not read | 0 | 0 | |
| NA | |||
| Playing a musical instrument/singing | 6 (10.5%) | 5 (8.6%) | |
| Playing sport, cycling, walking | 25 (43.9%) | 33 (56.9%) | |
| Drawing, painting, writing, bricolage | 5 (8.8%) | 9 (15.5%) | |
| Cooking | 4 (7%) | 4 (6.9%) | |
| Gardening | 8 (14%) | 2 (3.4%) | |
| Playing with brothers/sisters/board games | 4 (7%) | 3 (5.2%) | |
| I do not enjoy any other activity | 19 (33.3%) | 12 (20.7%) | |
| 0.013 | |||
| Improved | 3 (5.3%) | 13 (22.4%) | |
| The same | 37 (64.9%) | 36 (62.1%) | |
| Worsened | 17(29.8%) | 9 (15.5%) | |
| 0.048 | |||
| Improved | 20 (35.1%) | 18 (31%) | |
| The same | 25 (43.9%) | 36 (62.1%) | |
| Worsened | 12(21.1%) | 4 (6.9%) | |
| NA | |||
| The possibility that further pandemic spreading could occur affecting my parents, relatives and friends | 29 (50.1%) | 32 (55.2%) | |
| The possibility that the ongoing restrictive measures could negatively impact on my family’s economic condition | 18 (31.6%) | 17 (29.3%) | |
| The possibility that a prolonged quarantine could negatively conditioning my relationships with friends | 10 (17.5%) | 11 (19%) | |
| I am worried about the possibility of not coming back to school because I do not believe that online teaching is the same in terms of educational quality | 2 (3.5%) | 0 | |
| The possibility that it will take too much time to come back to normality | 0 | 2 (3.4%) | |
| The impact of this isolation period on my person (psychological/on my sporting career) | 0 | 2 (3.4%) | |
| I do not have any worry | 0 | 3 (5.2%) | |
| NA | |||
| A possible reduction in terms of pollution | 23 (40.4%) | 35 (60.3%) | |
| The chance of having more free time | 7 (12.3%) | 8 (13.8%) | |
| Having time to think of my own priorities and reflecting about my feature | 21 (36.8%) | 16 (27.6%) | |
| It will make people think about problems of our society | 0 | 1 (1.7%) | |
| Learning to appreciate little things | 2 (3.5%) | 0 | |
| More time to spend with parents that are no more busy with work | 1 (1.8%) | 2 (3.4%) | |
| Minor stress due to less weekly activities | 2 (3.5%) | 1 (1.7%) | |
| More time to work on myself and my self-improvement | 1 (1.8%) | 0 | |
| I do not see any positive aspect | 1 (1.8%) | 3 (5.2%) | |
NA Not applicable
* = p < 0.05
PHQ-15 scoring (weighted PHQ-15 score) in male and female SSD individuals. Results are reported when normalized from 14 items (for puberal girls) to 13 items (for prepuberal girls and boys) to 15 items
| Weighted PHQ-15 scoring | F (n.30) | M (n.28) |
|---|---|---|
| Low (score 0–4) | 7 (23.3%) | 18 (64.3%) |
| Mild (score 5–9) | 10 (33.3%) | 9 (32.1%) |
| Moderate (score 10–14) | 10 (33.3%) | 1 (3.6%) |
| Severe (≥ 15) | 3 (10%) | 0 (0%) |