Table 1 Demographics, salivary flow rate, and distribution of xerostomia.

From: Prediction of xerostomia in elderly based on clinical characteristics and salivary flow rate with machine learning

Parameter

Group 1 (n = 45)

Group 2 (n = 338)

Group 3 (n = 446)

p-value

Post-hoc

Mean ± SD or n (%)

Mean ± SD or n (%)

Mean ± SD or n (%)

Agea

19.67 ± 6.48

48.79 ± 8.22

71.31 ± 7.58

 < 0.001

1 < 2, 1 < 3, 2 < 3

Sexb

Female

18 (40.0%)

249 (73.7%)

324 (72.6%)

 < 0.001

Female: 1 < 2, 1 < 3

Male

27 (60.0%)

89 (26.3%)

122 (27.4%)

  

Salivary flow rate

UFRa

0.64 ± 0.39

0.42 ± 0.24

0.32 ± 0.20

 < 0.001

1 > 3, 2 > 3, 1 > 2

SFRa

1.43 ± 0.84

1.39 ± 0.87

1.27 ± 0.86

0.113

 

Xerostomiab

5 (11.1%)

63 (18.6%)

131 (29.4%)

 < 0.001

1 < 2, 1 < 3, 2 < 3

Systemic disease

Number of systemic diseasesa

0.07 ± 0.33

0.61 ± 0.92

1.34 ± 1.15

 < 0.001

1 < 2, 1 < 3, 2 < 3

Number of medicationsa

0.22 ± 0.42

0.46 ± 0.85

0.99 ± 1.26

 < 0.001

1 < 3, 2 < 3

  1. Significant are in value [bold].
  2. a Results were analyzed using ANOVA. b Results were obtained using χ2 test and repeated χ2 test between two age groups. Group 1 (1): 0–29 years, Group 2 (2): 30–59 years, Group 3 (3): 60–100 years.