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Table 2 Random effects model subgroup analysis and comparison

From: Big data on the prevalence of injury deaths among 187 488 elderly Chinese in the past 20 years (2000–2020): a systematic review and meta-analysis

Characteristic

Population

Injury fatalities

Literature number

Heterogeneity

Injury mortality(95%CI) /105

P

I2%

Total

124,798,756

187,488

41 [5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45]

0.0000

100

135.58(113.36,162.14)

Sex

 Male

53,548,047

84,793

28 [5,6,7,8,9,10, 12, 15, 17,18,19,20,21,22, 24, 25, 28, 31, 33, 34, 36,37,38,39,40,41, 43, 45]

0.0000

99.7

146.00 (116.00,183.74)

 Female

58,613,602

82,067

28 [5,6,7,8,9,10, 12, 15, 17,18,19,20,21,22, 24, 25, 28, 31, 33, 34, 36,37,38,39,40,41, 43, 45]

0.0000

99.7

127.90 (102.31,159.88)

Age

 60 ~ 

12,678,447

9130

8 [6, 8, 17, 21, 22, 24, 33, 35]

0.0000

99.3

72.01 (70.55,73.50)

 65 ~ 

11,250,673

10,332

10 [5, 6, 8, 17, 19, 21, 22, 24, 33, 35]

0.0000

98.8

91.83 (90.08,93.62)

 70 ~ 

8,509,655

11,067

10 [5, 6, 8, 17, 19, 21, 22, 24, 33, 35]

0.0000

99.4

130.05 (127.65,132.50)

 75 ~ 

6,481,340

13,173

10[5, 6, 8, 17, 19, 21, 22, 24, 33, 35]

0.0000

99.6

203.25(199.81,206.74)

 80 ~ 

3,943,769

15,179

10 [5, 6, 8, 17, 19, 21, 22, 24, 33, 35]

0.0000

99.7

384.88 (378.82,391.04)

 85 ~ 

2,397,524

20,485

10 [5, 6, 8, 17, 19, 21, 22, 24, 33, 35]

0.0000

99.7

854.42 (842.85,866.15)

Area

 Middle China

9,829,478

21 159

1 [17]

/

/

215.26 (212.38,218.18)

 Eastern China

76,355,196

110,036

30 [6, 10, 12,13,14,15,16, 19,20,21,22,23,24,25,26, 28,29,30,31,32,33,34,35,36, 38, 39, 41,42,43, 45]

 < 0.0000

100

130.73 (103.20,165.60)

 Western China

41,314,082

56,293

10 [5, 7,8,9, 11, 18, 27, 37, 40, 44]

 < 0.0000

100

143.84 (122.80,168.46)

Urban/rural

 Urban

88,852,752

130,789

23 [6,7,8,9,10, 12,13,14,15, 17,18,19,20, 22, 24, 33, 34, 36, 38,39,40, 42, 44]

0.0000

99.9

131.99 (101.85,171.05)

 Rural

14,931,279

26,225

12 [11, 17, 23, 24, 28, 30, 32,33,34, 36, 37, 39]

0.0000

99.8

170.35 (134.05,216.45)

Years

 2000 ~ 2005

8,293,637

13,889

8 [33, 34, 36, 39, 42,43,44,45]

0.0001

97.2

168.45(149.95,189.23)

 2006 ~ 2010

14,004,751

27,143

9 [6, 7, 17, 18, 24, 31,32,33, 37]

0.0001

99.2

213.96 (184.75,247.76)

 2011 ~ 2016

38,631,767

61,930

11 [5,6,7,8,9, 16,17,18,19, 21, 22, 24]

0.0001

99.6

157.18(139.52,177.07)

 2016 ~ 2020

19,963,976

30,397

6 [5,6,7,8,9, 11]

0.0001

97.6

148.10 (138.13,158.79)