Different Types of Physical Activity and Fitness and Health in Adults: An 18-Year Longitudinal Study

Table 4

HLM Model for the health status of 723 participants in the Bad Schönborn study.

Fixed effects
Parameter	Estimate	[95% CI]	SE
Constant term	1.12	0.87–1.51	0.11	69.69	<.01
Age (per year)	0.053	0.039–0.067	0.007	53.26	<.01
BMI (per BMI point)	0.10	0.08–0.13	0.014	53.17	<.01
SES (per enhancing social stratum)	−0.20	−0.29–−0.11	0.05	17.60	<.01
SABMI	0.0040	0.0019–0.0061	0.0011	14.05	<.01
AthleteBMI	−0.084	−0.131–−0.037	0.024	12.31	<.01
Ageathlete	−0.068	−0.104–−0.033	0.018	14.28	<.01
Age^2athlete	0.0016	0.00060–0.00260	0.0005	9.86	<.01
AgeWRA	0.00077	0.00017–0.00260	0.00031	6.33	.01
Age^2WRA	−0.000025	−0.000044–−0.000006	0.000010	6.49	.01
SexHA	−0.0077	−0.015–−0.006	0.0077	4.57	.03
Sex (if male)	0.18	−0.01–0.37	0.096	3.66	.06
WRA	−0.0036	−0.0082–0.0011	0.0024	2.21	.14
SA	0.0034	−0.0033–0.0102	0.0035	0.99	.32
HA	0.0012	−0.0024–0.0048	.0018	0.45	.50
Athlete	−0.033	−0.35–0.29	0.16	0.04	.84
Random effects
Parameter	Estimate	[95% CI]	SE	Wald
Age	0.0011	[0.0021–0.0223]	0.0002	5.51	<.01
Model fit
Correlation between predicted and measured values: = .71; Log-Likelihood: 4736.91

Basic terms of parameters have to be included when interactions with them are significant.