The Relationship Between Ambient Air Pollution and Hospitalizations for Gout in a Humid Subtropical Region of China

Figures & data

Table 1 Summary Statistics of Admissions for Gout, Meteorological Variables and Air Pollutants in Anqing, China, 2016–2020

Variables	Number	Mean (SD)		Centiles
			Min	Median	IQR	Max	P10	P90
Admissions	8675	4.75(3.59)	0	4	5	21	1	10
Male	7873	4.31(3.34)	0	4	4	20	1	9
Age<65	5468	2.99(2.50)	0	2	3	15	0	7
Warm Season	5140	2.81(3.92)	0	0	5	21	0	9
Cold Season	3535	1.93(2.87)	0	0	3	16	0	6
Mean temperature, °C	–	17.24(8.97)	−5.28	17.90	15.59	34	4.60	28.80
Relative humidity, %	–	78.61(12.15)	39	79.30	17.9	99	62	94
PM2.5, ug/m^3	–	49.91(32.77)	7	41	34	272	19	93
PM10, ug/m^3	–	65.39(39.03)	9	56	44	367	26	116
NO2, ug/m^3	–	31.58(15.79)	8	27	20	113	16	54
CO, mg/m^3	–	0.71(0.24)	0.1	0.7	0.3	2.0	0.4	1.0
SO2, ug/m^3	–	12.22 (6.08)	4	10	13	72	6	21
O3, ug/m^3	–	93.40(40.73)	12	91	58	235	41	147

Abbreviations: PM_2.5, particulate matter ≤2.5 microns in aerodynamic diameter; PM₁₀, particulate matter ≤10 microns in aerodynamic diameter; NO₂, Nitrogen Dioxide; CO, Carbon monoxide; SO₂, Sulfur dioxide; O₃, ozone.

Figure 1 Time series of gout, NO₂, O₃, and CO in Anqing, China, from 2016 to 2020.

Figure 2 Contour plots for relative risk (RR) of gout hospital admissions along NO₂, O₃ and CO at lag periods in Anqing, China, 2016–2020.

Figure 3 (A) lag-specific relative risks (%) and (B) cumulative risks (%) in hospital admissions for gout per 10 (or 1)-unit increase in daily mean concentrations of air pollution in the model.

Figure 4 Lag-specific relative risks (95% CI) of gout per 10 unit increase in the daily concentrations of NO₂ in models stratified by age, gender, and season.

Figure 5 Lag-specific relative risks (95% CI) of gout per 10 unit increase in the daily concentrations of O₃ in models stratified by age, gender, and season.

Figure 6 Lag-specific relative risks (95% CI) of gout per 1 unit increase in the daily concentrations of CO in models stratified by age, gender, and season.