Children’s Quality of Life in Europe: National Wealth and Familial Socioeconomic Position Explain Variations in Mental Health and Wellbeing—A Multilevel Analysis in 27 EU Countries

Table 4

Regression of noticeably low KIDSCREEN-10 scores on sociodemographic and socioeconomic factors: a multilevel model analysis across countries using random intercepts and random slopes.

	Noticeably low KIDSCREEN-10 results
	Point estimate OR	95% CI	95% population variation
Intercept	0.05	[0.03–0.08]	[0.02–0.16]
Intercept on GDP^#	0.97	[0.96–0.99]^e	—
Intercept on Gini^#	1.05	[1.01–1.10]	—
Boy 6–10^##
Boy 11–14	1.79	[1.48–2.18]	[1.54–2.08]
Boy 15–17	2.23	[1.84–2.70]	[1.99–2.50]
Girl 6–10	0.93	[0.77–1.12]	[0.81–1.06]
Girl 11–14	1.53	[1.25–1.87]	[1.24–1.89]
Girl 15–17	2.00	[1.51–2.64]	[1.12–3.57]
Occupation high^##a
Occupation medium^b	1.23	[1.02–1.48]	[1.02–1.47]
Occupation low^c	1.43	[1.16–1.77]	[1.21–1.69]
Education normal^##d
Education low^e	1.28	[1.09–1.49]	[1.11–1.47]
Male report. parent^##
Female report. parent	1.14	[0.99–1.32]	[0.96–1.36]

#Regression of random intercept/slope on second level aggregate socioeconomic characteristics; ##reference category.
aProfessional lawyer, medical practitioner, accountant, architect, general and top management, or manager of company.
bOwner of a shop, craftsman, or other.
cFarmer, forester, fisherman, manual worker, or unskilled manual worker.
dFinished full-time education at age 17 years and older.
eFinished full-time education at age below 17 years or never been in full-time education.
OR: odds ratio.