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Table 1 Sociodemographic and medical characteristics of 80-year-old subjects based on survival during 5.5-year follow-up period

From: Relationship between tooth loss and mortality in 80-year-old Japanese community-dwelling subjects

Characteristic

Alive

Died

P value

 

(n = 540)

(n = 157)

 

Sex

   

   Female

344 (81.9%)

76 (18.1%)

0.001

   Male

196 (70.8%)

81 (29.2%)

 

Marital statusa

   

   Currently married

253 (74.2%)

88 (25.8%)

0.022

   Currently unmarried

268 (80.9%)

63 (19.1%)

 

Place of residenceb

   

   Ward

149 (85.6%)

25 (14.4%)

0.008

   City

215 (76.2%)

67 (23.8%)

 

   Town/village

170 (73.3%)

62 (26.7%)

 

Medical history

   

   CVD

90 (76.3%)

28 (23.7%)

0.358

   Cancer

2 (66.7%)

1 (33.3%)

0.528

   Pneumonia

13 (72.2%)

5 (27.7%)

0.364

Medical examinations

   

   Serum total cholesterol (mg/dL)

208.1 (37.4)

196.8 (40.1)

0.002

   Fasting serum glucose (mg/dL)

116.5 (44.5)

138.9 (74.6)

< 0.001

   Serum albumin (g/dL)

4.3 (0.29)

4.1 (0.35)

< 0.001

Systolic blood pressure (mmHg)

150.8 (23.6)

149.2 (21.8)

0.463

   Diastolic blood pressure (mmHg)

79.3 (12.5)

77.5 (11.7)

0.117

Disease risk factors

   

   Body mass index

22.9 (3.3)

21.9 (3.2)

0.002

   Regular physical activityc

   

Yes

300 (77.9%)

85 (22.1%)

0.614

No

212 (76.3%)

66 (23.7%)

 

   Regular checkup by family doctord

   

Yes

430 (77.5%)

125 (22.5%)

0.688

No

81 (75.7%)

26 (24.3%)

 

   Self-rated general healthe

   

Very good

224 (79.2%)

59 (20.8%)

0.140

Good

245 (78.3%)

68 (21.7%)

 

Moderate

61 (69.3%)

27 (30.7%)

 

   Smoking habitc

   

Smoker

173 (68.4%)

80 (31.6%)

< 0.001

Non-smoker

358 (82.9%)

74 (17.1%)

 

   Daily alcohol consumptionf

   

Non-drinker

221 (75.4%)

72 (24.6%)

 

Drinker

294 (79.0%)

78 (21.0%)

0.156

  1. Abbreviations: CVD, cardiovascular disease.
  2. Data indicate the number of subjects (%) or mean (SD).
  3. Data available for a672, b688, c663, d662, e684, and f665 people, respectively.
  4. Differences between groups were tested using a Pearson chi-square test for categorical variables and an ANOVA for continuous variables.