Table 3. Linear mixed-effects models of PAR based on scan observations of adults age 20+ (n = 24,923 observations on 319 adults).

	Model 1 (AIC = 80600)			Model 2 (AIC = 79958)
Factors	Estimate	±SE	t-value	Estimate	±SE	t-value
(Intercept)	2.57	0.30	8.45***	2.43	0.33	7.41***
Age	−0.01	0.01	−0.96	−0.01	0.01	−0.09
Age2	0.00	0.00	0.43	0.00	0.00	0.35
Sex (male)	0.44	0.06	7.44***	0.40	0.16	2.47*
Forest (vs. Near Town)	0.05	0.07	0.71	−0.11	0.21	−0.54
Riverine (vs. Near Town)	−0.12	0.06	−1.79°	−0.32	0.18	−1.77°
Dry Season (vs. intermediate)	0.12	0.02	6.54***	0.02	0.06	0.38
Wet Season (vs. intermediate)	−0.24	0.02	−10.37***	−0.19	0.11	−1.82°
Education (highest grade)	−0.01	0.01	−0.76	−0.01	0.01	−0.38
Spanish (0–2)	0.11	0.06	1.76°	0.10	0.06	1.55
BMI	−0.01	0.01	−0.76	−0.01	0.01	−0.51
Age*Sex (male)				−0.01	0.00	−1.52
Age*Forest				−0.01	0.00	−2.23°
Age*Riverine				−0.00	0.00	−0.47
Age*Dry Season				−0.01	0.00	−4.57***
Age*Wet Season				0.01	0.00	3.29***
Sex (male) *Forest				0.52	0.12	4.27***
Sex (male) *Riverine				0.25	0.12	2.11*
Sex (male) *Dry Season				0.27	0.04	7.16***
Sex (male) *Wet Season				−0.36	0.05	−7.67***
Forest*Dry Season				0.52	0.05	11.40***
Riverine*Dry Season				0.01	0.05	0.15
Forest*Wet Season				−0.03	0.09	−0.31
Riverine*Wet Season				0.27	0.09	2.95**

Note: Random effects include person ID and time of day nested within person ID. Model 1 includes only main effects, Model 2 includes two-way interactions that improved AIC in a simultaneous inclusion procedure.

^° p<0.1,

^* p<0.05,

^** p<0.01,

^*** p<0.001.