| Literature DB >> 31504058 |
Vidar Sandsaunet Ulset1, Nikolai Olavi Czajkowski2, Brage Kraft1, Pål Kraft1, Ellen Wikenius3, Thomas Haarklau Kleppestø1, Mona Bekkhus2.
Abstract
Social stress and inflammatory processes are strong regulators of one another. Considerable evidence shows that social threats trigger inflammatory responses that increase infection susceptibility in both humans and animals, while infectious disease triggers inflammation that in turn regulates social behaviours. However, no previous study has examined whether young children's popularity and their rate of infectious disease are associated. We investigated the longitudinal bidirectional links between children's popularity status as perceived by peers, and parent reports of a variety of infectious diseases that are common in early childhood (i.e. common cold as well as eye, ear, throat, lung and gastric infections). We used data from the 'Matter of the First Friendship Study' (MOFF), a longitudinal prospective multi-informant study, following 579 Norwegian pre-schoolers (292 girls, median age at baseline = six years) with annual assessments over a period of three years. Social network analysis was used to estimate each child's level of popularity. Cross-lagged autoregressive analyses revealed negative dose-response relations between children's popularity scores and subsequent infection (b = -0.18, CI = -0.29, -0.06, and b = -0.13, CI = -0.23, -0.03). In conclusion, the results suggest that children who are unpopular in early childhood are at increased risk of contracting infection the following year.Entities:
Mesh:
Year: 2019 PMID: 31504058 PMCID: PMC6736236 DOI: 10.1371/journal.pone.0222222
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Sample recruitment and follow-up.
Fig 2Social networks at Time 1 (N = 447).
Note. Nodes represent children. Colors indicate popularity score which is the number of receiving popularity nominations. For parsimony, edges indicate an undirected social tie between two children. Only children with complete data are represented.
Pearson´s bivariate correlations and descriptive statistics.
| 1 | 2 | 3 | 4 | 5 | 6 | |
|---|---|---|---|---|---|---|
| 1. Infections T1 | ||||||
| 2. Infections T2 | 0.29 | |||||
| 3. Infections T3 | 0.03 | 0.23 | ||||
| 4. Popularity T1 | -0.06 | -0.18 | -0.06 | |||
| 5. Popularity T2 | -0.03 | -0.08 | -0.15 | 0.34 | ||
| 6. Popularity T3 | 0.07 | -0.04 | -0.07 | 0.27 | 0.27 | |
| N | 386 | 404 | 330 | 579 | 579 | 579 |
| Mean | 0.67 | 0.53 | 0.40 | 1.67 | 1.75 | 1.78 |
| SD | 0.54 | 0.34 | 0.29 | 1.39 | 1.91 | 1.37 |
| Min–Max | 0–4 | 0–2.5 | 0–2 | 0–4 | 0–4 | 0–4 |
*p < 0.05,
**p < 0.01,
***p < 0.001
Fig 3Dose-response relations between popularity and infections at Time + 1.
Note. Error bars in the plot indicate a 95% confidence interval.
Fig 4Autoregressive and cross-lagged relations between children´s popularity and infectious diseases.
Note. For simplicity, only significant standardized regression coefficients are shown, with confidence intervals in brackets. Significant paths are highlighted with solid arrows.