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Table 1 Characteristics of community-dwelling ≥65 year olds according to dental status

From: The impact of dental status on perceived ability to eat certain foods and nutrient intakes in older adults: cross-sectional analysis of the UK National Diet and Nutrition Survey 2008–2014

Characteristic

Total

DEN

D-DEN

E-DEN

 

n = 1053

n = 456

n = 305

n = 292

Socio-demographics

n

%

n

%

n

%

n

%

Pb

 Female

621

59

247

54

191

63

183

63

0.021

 Age (yrs.)

  65–74

613

58

313

69

175

57

125

43

 

  75+

440

42

143

31

130

43

167

57

< 0.001

 SESa

  High

346

33

186

41

110

36

50

17

 

  Medium

234

23

107

24

71

23

65

22

 

  Low

464

44

163

36

124

41

177

61

< 0.001

 Living alone

521

50

190

42

163

53

168

58

< 0.001

Anthropometry

Mean

SD

Mean

SD

Mean

SD

Mean

SD

Pc

 Height cm (n = 933)

163.33

9.17

164.64

9.02

162.78

8.75

161.71

9.57

< 0.001

 Weight kg [n = 959)

75.25

15.87

75.61

15.39

74.63

14.17

75.33

18.23

0.725

 BMI kg/m2 (n = 918)

28.23

5.10

27.93

4.71

28.14

4.75

28.81

6.00

0.099

 Waist circumference cm (n = 756)

97.29

14.05

96.48

14.16

97.02

12.64

99.03

15.22

0.119

Health behaviours

n

%

n

%

n

%

n

%

Pb

 Smoking status

  Current cigarette smoker

116

11

39

9

34

11

43

15

 

  Ex-regular cigarette smoker

396

38

151

33

123

40

122

42

 

  Never regularly smoked cigarettes

541

51

266

58

148

49

127

44

0.001

 Takes a nutritional supplement

363

35

174

38

102

33

87

30

0.057

  1. SES, socio-economic status. aSES was determined based on the National Statistics Socio-Economic Classification System (NSSEC) of the household reference person: High SES includes higher managerial, administrative and professional occupations; medium SES includes intermediate occupations; low SES includes routine and manual occupations. Categorical data are presented as frequencies (%), and continuous data are presented as mean (SD). Significant differences between DEN, D-DEN & E-DEN groups for categorical data were analysed using bChi2 test, and for continuous data cANOVA tests were used