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Table 5 Heterogeneity of ADL disability among different groups of residents affected by air quality

From: Determining the effect of air quality on activities of daily living disability: using tracking survey data from 122 cities in China

Grouping

Indicators

lnSO2

lnNO2

lnPM10

lnAQI

Observations

Age group

Under 60 years

0.0170 (0.0452)

0.0917 (0.0671)

−0.0078 (0.0653)

− 0.1352 (0.0921)

15,526

Over 60 years old

−0.1530*** (0.0567)

−0.1069 (0.0869)

− 0.2208*** (0.0801)

−0.1531 (0.1140)

10,692

Regional economic status

Low GDP group

−0.0074 (0.0408)

0.0112 (0.0576)

−0.0771 (0.0611)

−0.1275 (0.0896)

18,952

High GDP group

−0.2994*** (0.0907)

−0.1410 (0.1680)

− 0.3922*** (0.1316)

−0.2325 (0.1521)

7266

Gender

Male

−0.0067 (0.0494)

0.0739 (0.0739)

−0.0127 (0.0712)

−0.2606*** (0.0999)

12,225

Female

−0.1121** (0.0503)

−0.0696 (0.0753)

− 0.1812** (0.0720)

−0.0627 (0.1038)

13,993

Long term insurance pilot

Pilot was launched

0.3958 (6.8008)

−2.5769 (44.2767)

−0.3120 (5.3616)

−2.2673 (38.9568)

419

No pilot was conducted

−0.0597* (0.0358)

−0.0048 (0.0535)

− 0.1097** (0.0515)

−0.1475** (0.0727)

25,799

  1. Abbreviations: AQI Air Quality Index, SO2 Sulfur Dioxide, NO2 Nitrogen Dioxide, PM10 Inhalable Particles
  2. Note: Standard errors are in brackets; *** p < 0.01, ** p < 0.05, * p < 0.1. The control variable results are not listed here