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Table 3 Distribution of deceased or alive subjects according to gender and subgroups of AgeDiff

From: Biological age as a useful index to predict seventeen-year survival and mortality in Koreans

Subject

Subgroup

Alive, N (%)

Deceased, N (%)

p value

Men

AgeDiff < 2

277,136 (97.25)

7,851 (2.75)

<0.0001

 

2 ≤ AgeDiff < 5

29,008 (95.69)

1,305 (4.31)

 
 

AgeDiff ≥ 5

1,427 (92.18)

121 (7.82)

 
 

AgeDiff ≤ 0

144,255 (97.50)

3,698 (2.50)

<0.0001

 

AgeDiff > 0

154,204 (96.66)

5,333 (3.34)

 

Women

AgeDiff < 2

205,097 (98.51)

3,101 (1.49)

<0.0001

 

2 ≤ AgeDiff < 5

29,812 (97.89)

644 (2.11)

 
 

AgeDiff ≥ 5

2,354 (96.55)

84 (3.45)

 
 

AgeDiff ≤ 0

117,270 (98.61)

1,653 (1.39)

<0.0001

 

AgeDiff > 0

114,291 (98.20)

2,091 (1.80)

 

Total

AgeDiff < 2

482,233 (97.78)

10,952 (2.22)

<0.0001

 

2 ≤ AgeDiff < 5

58,820 (96.79)

1,949 (3.21)

 
 

AgeDiff ≥ 5

3,781 (94.86)

205 (5.14)

 
 

AgeDiff ≤ 0

261,525 (97.99)

5,351 (2.01)

<0.0001

 

AgeDiff > 0

268,495 (97.31)

7,424 (2.69)

 
  1. AgeDiff biological age – chronological age
  2. p value computed using linear trend test