Skip to main content
. Author manuscript; available in PMC: 2023 Jul 1.
Published in final edited form as: Environ Res. 2022 Oct 23;216(Pt 2):114636. doi: 10.1016/j.envres.2022.114636

Table 3.

Relative risks of hospitalization for psychotic disorders per 1 °C increase in temperature and per interquartile increase in cumulative precipitation (mm) in total study population and stratified by sex, age range, area level poverty, percent of blacks and Hispanics

Temperature Precipitation
Group RRa 95% CI RR 95% CI
Total 1.03 1.03, 1.04 1.02 1.00, 1.03
Sex
Male 1.02 1.02, 1.03 1.01 0.99, 1.04
Female 1.01 1.01, 1.02 1.02 0.99, 1.05
P for differenceb 0.053 0.617
Age range
Younger age <30 years 1.01 1.00, 1.02 1.01 0.98, 1.05
Older age >=30 years 1.03 1.02, 1.03 1.01 0.99, 1.03
P for difference 0.001 0.965
Poor vs. less poor areasc
Poor 1.04 1.03, 1.05 0.90 0.87, 0.93
Less poor 1.03 1.02, 1.04 1.07 1.05, 1.09
P for difference 0.141 <0.001
Percent of Blacksd
High 1.02 1.01, 1.03 1.04 1.02, 1.06
Low 1.03 1.02, 1.03 1.02 1.00, 1.05
P for difference 0.455 0.074
Percent of Hispanicse
High 1.00 0.99, 1.01 1.00 0.98, 1.02
Low 1.05 1.04, 1.06 1.02 1.00, 1.05
P for difference <0.001 0.216
a

Relative risks (RR) of hospitalization for psychotic disorders per interquartile (IQR) increase in cumulative precipitation (mm) level, and per 1 °C increase in ambient temperature;

b

P value for effect heterogeneity (difference) z test between the comparison sub-groups;

c

Poor areas defined as above 67% percentile of community poverty level, less poor areas defined as less than 67% percentile of community poverty level;

d

High indicates high percent of blacks in the area vs. low indicates (relatively) low percent of blacks in the area using 67% as the cutoff;

e

High indicates high percent of Hispanics in the area vs. low indicates (relatively) low percent of Hispanics in the area using 67% as the cutoff;

*

Analyses were conducted for areas with population on the subgroup based on multi-exposure model including air pollutants, temperature, precipitation, relative humidity, daylight intensity, admission state, admission year, population density, area-level long-term socioeconomic, healthcare access and behavioral factors as described in Covariates section.